Episoder

  • Creating Trustworthy AI in Healthcare is critical. It can impact life and death and quality of life. We need Strategy, Plans and Action to Address the Privacy, Impact of Algorithm Bias in Health and Healthcare, and other aspects of Trustworthy AI such as Explainability.

    In this podcast I speak with Tamra Moore who is one of a handful lawyers in the US associated with legal issues on the use of AI/ML in healthcare, she also has a degree in Biomedical Ethics.

    I am Pamela Gupta, CEO Trusted AI and host for the thought leadership series Trustworthy AI : De-risk business adoption of AI. Through these talks I am bridging Strategy and Actionable guidance from global Industry leaders to create practical guidance in reducing risk for managing the complex and high risk area of AI.. I believe we can achieve Trustworthy AI, but in order to do that is essential to be built in at the very DNA of an AI system or adoption, hence the Trusted AI logo ā€“ with a DNA strand for I in AI.

    Tamra is an attorney with over 15 years of federal government and private sector litigation and regulatory experience.

    Sheā€™s currently in-house counsel at a global financial services company, where she advises the Chief Data Officer and others on legal and regulatory compliance issues. These issues are related to the development and use of AI and ML models in consumer-facing products and internal operations.

    Last year, at the invitation of the NIH and Agency for Healthcare Quality and Research, she participated on a consensus panel looking at racial bias in healthcare algorithms.

    We discuss :

    1. How can we ā€œAddress the Impact of Algorithm Bias on Racial and Ethnic Disparities in Health and Healthcare.ā€

    2. What is the US regulatory landscape with respect to the use of AI in healthcare?

    3. What is the HHS rule on Algorithmic transparency. What is it, who is impacted and what does one have to do to be compliant.

    Tamra talks about the Office of the National Coordinator for Health Information Technology (ONC) Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-1) rule.

    4. What are some of the challenges of implementing a governance framework for healthcare algorithms used in a hospital setting?

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this episode of Trustworthy AI : help De-Risk adoption of AI, Trusted AI CEO Pamela Gupta talks with Kimberly Gold. Chief Privacy Officer, Executive Director at Genentech IAPP Advisory Board Member | Speaker | Privacy & AI Governance Professional | Healthcare Technology Leader

    Genentech pioneered the biotechnology industry and revolutionized treatment for some of the most complex health problems.

    Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Their transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.

    We discuss the additional challenge posed by the fluid and inconsistent current privacy laws in each US State,
    Privacy program management challenges in industry,
    Safe adoption of Generative AI and
    essential data protection practices.

    We also discuss EU AI Act impact on US Companies.

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

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  • In this episode of Trustworthy AI: De-risk business adoption of AI ā€“ I discuss real world implementation of Responsible AI Principles at one the largest telecommunications service providers in the world ā€“ TelefĆ³nica.

    Dr Richard Benjamins is the former Chief Responsible AI Officer at Telefonica and founder of its ā€œAI for Society and Environmentā€ area, where he played a pivotal role in shaping TelefĆ³nica's approach to the ethical use of artificial intelligence. He is among the 100 most influential people in data-driven business (DataIQ 100, 2018)

    Dr. Benjamins is co-founder and CEO of the Spanish observatory for ethical and social impacts of AI (OdiseIA).

    This is a must hear conversation for those looking to create a competitive edge using AI. Integration of Trustworthy AI at the foundation of AI Initiatives is not only important, it can be the most critical element in shaping intended outcomes and the trajectory of success.

    We discuss:

    Challenges in big companies in adopting Responsible AI/Trustworthy AI

    Vision and Leadership buy in necessary for adoption

    AI Champions and moreā€¦

    Trusted AI is providing the help for Organizations at different levels of maturity in AI Risk Management and Governance achieve AI Center of Excellence and maturity, visit Trusted AI as a Service to book https://www.trustedai.ai/ai-trust-as-a-service/

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • Trustworthy AI : De-risk adoption of AI - Facial Recognition

    I am Pamela Gupta, CEO Trusted AI and host for series Trustworthy AI : De-risk business adoption of AI. I believe we can achieve Trustworthy AI, but in order to do that is essential to be built in at the very dna of an AI system or adoption, hence the Trusted AI logo ā€“ with a DNA strand for I in AI.

    Facial Recognition is a controversial technology , can we use to for intended outcomes, use it intentionally and with guard rails? In this episode I discuss the Risks and mitigation with Daniel Eboral ā€“ one of the leaders in deployment of Ethical AI.

    The privacy and ethical risks associated with facial recognition technology (FRS) are significant and multifaceted. These concerns are not only related to the technology's accuracy and the potential for misuse but also involve deeper issues around consent, bias, and broader society.

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • Excited to bring real work application of #responsibleai #trustedai in Manufacturing. It was a pleasure talking to a truly strategic leader Namrita Mahindro on the issues, solutions of Responsible/Trustworthy AI in Manufacturing.

    In this episode of "Trustworthy AI: De-risk business adoption of AI"

    Your host Pamela Gupta talks with Namrita Mahindro Chief Digital and information officer CDIO Aditya Birla Chemicals.

    Namrita has led award winning, end to end transformations (omni-channel customer experience, manufacturing and supply chain) for Aditya Birla Chemicals, Mahindra Auto & Club Mahindra, Taj Hotels. She has Conceptualized, designed and implemented future driven strategies interwoven with exponential technologies building a culture of customer centricity and operational excellence whilst delivering business impact through revenue growth & profit maximization in complex, distributed, scale environments.

    She has a passion and Keen interest in Responsible AI to building and creating ethical, AI sustainable solutions Teaching at University of Oxford on Responsible AI,

    Follow Namritaā€™s podcast on AI, Talks with Namrita

    We discuss:

    Value of AI for manufacturing as it shifted to human centric and optimization;

    Humans and cobots centers business challenges and solutions

    What is Responsible Trustworthy AI in Manufacturing

    Does it add value or challenges for manufacturing?

    Solutions for Human Machine Interface risks

    Her Risk Model for Human, Machine and compliance..

    There are a lot of pragmatic and real world adoption issues and insights. If you have comments or questions please contact me at https://lnkd.in/ejuUmbJ6

    Watch at: https://lnkd.in/exfQwCty

    Subscribe to podcast by selecting your platform at: https://lnkd.in/efiv5wi4

    #ai #aichallenges #thoughtleadership #CDO #CIO



    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this episode of "Trustworthy AI: De-risk business adoption of AI" your host Pamela Gupta is talking with a authority on Trustworthy Generative AI and LLMS, Krishnaram Kenthapadi.

    Chief AI Officer & Chief Scientist of Fiddler AI, Krishnaram is leading initiatives on generative AI, on AI safety, and trustworthiness, as well as the technical strategy, customer-driven innovation, and thought leadership for Fiddler. He received his Ph.D. in Computer Science from Stanford University, went on to research at Microsoft, represented LinkedIn at Microsoft's AI Ethics Advisory Board, was the Principal Scientist at Amazon, where he led the responsible AI initiatives in AWS ML, and shaped new initiatives such as Amazon SageMaker Clarify from inception to launch.
    Join us for a in depth discussion on:

    1. What is trustworthiness of LLMS

    2. Trustworthy AI Challenges for LLMs; Are they different from predictive AI?

    3. How does it impact businesses ā€“ is it different between organizations creating than those implementing?

    4. What are some ways of deplying Trustworthy LLMS? Is testing LLM pre deployments sufficient and effective for production performance?

    5. What can companies do to prepare for Responsible AI by design;

    6. Incentives for different stakeholders.

    7. Prepare for current and upcoming future by drawing parallels with synthetic biology?

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this episode of Trustworthy AI : help De-Risk adoption of AI,
    Trusted AI CEO Pamela Gupta talks with Piercosma Bisconti who is the Project Leader of the EU standard ā€œAI Trustworthiness Frameworkā€.
    Piercosma is leading this inside the CEN-CENELEC, the EU standardization committee.
    We discuss the the š€šˆ š“š«š®š¬š­š°šØš«š­š”š¢š§šžš¬š¬ š…š«ššš¦šžš°šØš«š¤ project, a step forward for building the overarching framework of the EU's AI standardization ecosystem.
    I asked "This standard will help create a NorthStar for preparation for compliance with the EU AI Act, so all eyes on you Piercosma", he smiled as he responded "No Pressure".
    To relieve that pressure on creators and impacted I am happy to announce to keep you posted on next steps, developments and our new "Trusted AI as a Service" product launch! See more details on https://www.trustedai.ai/ai-trust-as-a-service/

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this episode of "Trustworthy AI: De-risk business adoption of AI" Creating a safer digital space,

    Your host Pamela Gupta is talking to Yonah Welker. Yonah Welker is an AI expert, technology explorer and public voice for algorithmic diversity working on European Commission-funded research, technology, and innovation projects. He is a Serial Technologist, Public Evaluator, Commission's Board, Voice For Algorithms, Spectrums, Policies, Acts @EU_Commission @MIT @WEF @EU-MENA-US

    We discuss the impact of EU AI Act on a variety of successful technology projects addressing accessibility of public spaces, cognitive and sensory impairments, medical and educational technologies, such as social robotics for children with autism, eyes-tracking systems supporting
    reading impairments and dyslexia, smart tablets for individuals with
    visual impairments, variety of rehabilitation and medical technologies.

    The final provision of the AI Act expands the categories of high and unacceptable risk systems, introduces stricter compliance on emotion recognition, publicly accessible workplaces and educational spaces, dedicated rules addressing general-purpose AI, ā€œspecific transparency risksā€, and the list of special cases, exceptions and comments, including biometrics systems and law-enforcement.

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this episode of Trustworthy AI: De-Risk adoption of AI on Responsible AI uses in Legal profession,

    I talk with Dr Megan Ma, MIT Law Responsible Task Force member that was formed to address growing concerns around the responsible and ethical use of AI in the legal profession following the infamous incident of a New York attorney submitting a fake, ChatGPT-generated brief in federal court and subsequently being fined $5,000.

    Dr Ma is a Fellow and the Assistant Director of the Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX). Her research focuses on the translation of legal knowledge to code, considering its implications in contexts of human-machine interaction. She also teaches courses in computational law and insurance tech at the Law School.

    She has taught courses in Artificial Intelligence and Legal Reasoning, Legal Semantics, and Public Health Law and Policy. She has previously been a Visiting PhD at the University of Cambridge and Harvard Law School respectively.

    We discuss using Responsible/Trustworthy AI principles and parallels between business and legal realms when it comes to promote better business outcomes, including accelerated innovation with AIā€™.?

    Megan and I go in depth on the challenges she is seeing and solving in her role and main focus.

    MIT Task force Responsible AI recommendations and adoption by the California American Bar Associationā€™s of the taskforce recommendations on Responsible AI. The Task Forceā€™s 7 principles for lawyerā€™s duties when using AI for legal work namely

    Duty of Confidentiality

    Duty of Fiduciary Care

    Duty of Client Notice and Consent

    Duty of Competence in the usage and understanding of AI applications.

    Duty of Fiduciary Loyalty

    Duty of Regulatory Compliance and respect for the rights of third parties, applicable to the usage of AI applications in your jurisdiction(s);

    Duty of Accountability and Supervision to maintain human oversight over all usage and outputs of AI applications.

    Optimizing technology to alleviate legal problems

    Future of legal education and more...

    Using G

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this episode of "Trustworthy AI: De-risk adoption of AI" I talk with Steven Tiell.

    He is a nonresident senior fellow with the Atlantic Councilā€™s Geotech Center.

    Ā· Steven Tiell founded and led Accentureā€™s global data ethics and responsible innovation practice. He is a strategy executive with wide technology expertise and particular depth in data ethics and AI Governance.

    Ā· He provided guidance to the Monetary Authority of Singapore on their Fairness Ethics accountability & Transparency policy.
    We discuss:

    ā€˜How Trustworthy AI can be instrumental in helping obtain positive outcomes, including accelerated innovation with AIā€™

    1. What is Trustworthy AI

    2. What is the place of Regulations in AI Governance.

    3. What is effective AI Governance.

    4. When we talk about AI Accountability, is it to the government? To Society?

    Join us.

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • Pamela Gupta CEO Trusted AI speaks with Anna MetsƤranta on the impact of EU AI on Business .
    Anna MetsƤranta heads Solita's work on sustainable use of AI. Solita is a European data, strategy, and AI company. She is a member of the Nordic Ethical AI Expert Group and was shortlisted for the DAIR awards for AI Ethics Professional of The Year 2023.

    We are aligned on our common vision to help organizations increase awareness of the risks and harms of AI, as well as helping organizations to adopt measures to take better control of their AI. This helps to ensure value creation as well as risks and impacts management.

    Anna and I discuss :

    Who does EU AI Act impact.

    How does it impact business risk and innovation.

    What is the next step - where do we go from here?

    I loved hearing Annaā€™s concept of algorithmic debt... ā€œSimilar to technical debt, there is a cost related to building and deploying AI systems without embedding the necessary transparency, accountability, and risk management measures. This is what I call algorithmic debt. Going full speed with implementation, omitting best practice methods for responsible use of AI, will be costly.ā€

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In episode #16 of Trustworthy AI: De-Risk adoption of AI, Pamela Gupta talks to noted Privacy expert Debbie Reynolds on FTCā€™s AI Regulatory powers and impact on Organizations.
    On November 21, 2023, the Federal Trade Commission (FTC) approved a resolution to facilitate the issuance of Civil Investigative Demands (CIDs) in AI-related investigations. This 10-year resolution allows streamlined issuance of these subpoenas, while the FTC retains ultimate control over their use. This action aligns with the FTC's broader strategy under Chair Lina Khan to enhance its regulatory authority in the AI sector.

    The FTC's move reflects a growing focus on the potential risks AI poses to consumers, acknowledging both its benefits and possible misuses, such as deception or discrimination further committing to protect individual rights against violations through advanced technologies.

    The Biden administration, in the hashtag#executive order on ā€œsafe, secure, and trustworthy development and use of artificial intelligence", encouraged the FTC to expand its regulatory activities in AI. The FTC's new resolution positions it to more vigorously investigate AI companies for illegal or unfair practices, underlining its ambition to become a leading AI regulator. The FTC has already initiated such actions, as evidenced by its investigation of OpenAI, the developer of ChatGPT.

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this episode I talk with Jagan Rao from Service Now about real world AI product development and AI initiatives and innovation with adoption of responsible and trustworthy AI.

    Service Now is a cloud computing platform to help companies manage digital workflows for enterprise operations.

    Jagan Rao is Director Product Success, Risk ,SecOps, ESG, at Service working with a top 100 global companies. He leads a globally talented team of tenured product success managers and is working on various initiatives focusing on the customer on at scale initiatives and program helping customers to achieve quicker ROI.

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • A strategic approach to delivering business value with Responsible/Trustworthy AI with Dr. Irina Mirkina.
    ā€œWe are in the business of risk management not fear mongeringā€ Dr. Irina Mirkina, AI Strategist UNICEF.
    In this weekly podcast I explore the premise ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?

    In this episode I am speaking with Dr Irina Mirkina on managing organizational culture, proactively managing risk and responsible AI for intended outcomes.

    Dr. Irina Mirkina is an AI strategist and a leading expert on responsible AI. Working for increasing global awareness of both risks and benefits of artificial intelligence, Dr Mirkina is currently the AI Lead for the Office of Innovation at the United Nations Childrenā€™s Fund (UNICEF).

    Having built a successful career in academia and the private sector, she joined UNICEF to advance the ethical development and use of AI systems that respect childrenā€™s rights and save childrenā€™s lives.
    I talked to Dr. Mirkina on these areas and more:

    We have been using ai, is Generative AI going to disrupt ai adoption and be the AI new value proposition exclusively? What practical & strategic challenges are businesses facing with Generative AI technology?

    We know mechanics required for ensuring success for AI - what about cultural change management ? What do you feel are the elements of responsible ai required to ensure a culture that can excel with AI.

    Highlight how can you be most strategic with Trustworthy AI/Responsible AI and the impact it has on reducing business risks adoption of AI.

    Which Trusted AI's Essential Pillars of Trustworthy AI did we cover in this talk? A strategic approach to delivering business value with Responsible/Trustworthy AI with a risk based approach.

    For questions or comments on this podcast reach out to me https://www.linkedin.com/in/buildingtrustedaiholistically/

    To request an AI adoption assessment: Trusted AI https://www.trustedai.ai/strategic-ai-risk-governance-compliance/

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • This week I want to talk about the evolving threat landscape and the emerging threats that companies and governments should be preparing for?

    How do we proactively prepare for the evolving Cybersecurity threats and what is the role of AI Cybersecurity in Trustworthy AI?

    Lets take a look at CISA, the operational branch of department of homeland security, DHS's roadmap for Artificial Intelligence. Overall, CISA's roadmap aims to ensure safe, secure, and responsible use of AI in both public and private sectors, with a particular emphasis on cybersecurity and critical infrastructure. As noted in the President ā€˜s Executive Order 14110 ā€œSafe, Secure, And Trustworthy Development and Use of Artificial Intelligence (AI),ā€ ā€œAI must be safe and secure .ā€

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this episode we talk about Generative AI and disinformation and disinformation as a service. I am talking to Ksenia Iliuk, Co-Founder of LetsData. We uncover:

    1. What is modern disinformation and its consequences for companies and governments?

    2. Disinformation as a Service: There is a rise in 'Disinformation as a Service' offerings on the dark web. How does this trend affect the threat landscape for companies and governments, and what preemptive measures can be taken?

    3. Generative AI in Disinformation: How is Generative AI currently being utilized to spread disinformation, and what makes it so effective?

    4. Impact on Companies: In what ways are companies particularly vulnerable to disinformation campaigns powered by Generative AI?

    5. Deepfakes and Synthetic Media and a lot more..

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • Welcome to "Trustworthy AI: De-risk business adoption of AI," hosted by Pamela Gupta.
    In this episode Pamela talks with Karen Hao an award winning American journalist and data scientist. Currently a contributing writer for The Atlantic The Wall Street Journal and senior artificial intelligence editor at the MIT Technology Review, she is best known for her coverage on AI research, technology ethics and the social impact of AI.

    Pamela is CEO of Trusted AI and a leading voice in Digital Governance, Risk Management, Business Strategy, Technology, and Cybersecurity. With extensive experience in global industry leadership, Pamela has explored critical themes like achieving business value with AI.
    She hosts these podcasts to bring guidance and strategies on identifying risks that can be addressed or mitigated by adopting a holistic risk based Trustworthy AI approach. She defined a framework for building Trust by Design, AI TIPS that rests on 8 essential pillars of trustworthy AI. Read more details at Trusted AI website https://Trustedai.ai.

    Pamela and Karen review and critique President Bidenā€™s Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence released this week.

    Pamela asks Karen about the current state of AI and its progression, and its high impact on our present and future.

    The episode ends with Pamela quoting Karen from her article in MIT Technology Review on AI Ethics. ā€œAI, in other words, is meant to help humanity prosper. Letā€™s not forget.ā€ #simplypowerful

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • Can Trustworthy AI help De-Risk adoption of AI?
    What does it mean. In this podcast we reversed roles. Da-Wyone Haynes is the guest but he is the one posing questions to the host, Pamela Gupta.

    ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?

    Trusted AIā€™s Pamela Gupta defined 8 Essential pillars of Trustworthy AI, and a way to operationalize AI Governance, four years before NIST published their AI Risk Management Framework.

    The 8 Pillars are Security, Privacy, Transparency, Explainability, Audit, Regulations, Accountability and Ethics.

    In this episode we talk about some examples of AI initiatives that failed due to lack of a trustworthy pillar.

    At Trusted AI specializes in operationalizing AI Trust and Risk management across ai adoption. product development and data life cycles. We create process and technology that helps mitigating risk and identifying growth opportunities through proven approaches.

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this podcast episode, technology consultant and author Dr. Jeffrey Funk, PhD talks with Pamela Gupta about AI, GenAI, its value and hype.
    His recently released book, Technology Change and the Rise of New Industries explores why new industries emerge at specific moments in time and in certain countries based on analyses of many industries, including those with an electronic and clean energy focus, he challenges the conventional wisdom that performance dramatically rises following the emergence of a new technology, that costs fall due to increases in cumulative production, and that low-end innovations automatically become disruptive ones.
    Implementing the correct Trust AI principles can be complex. Many companies are partnering with Trusted AI experts who can provide relevant guidance. I am Pamela Gupta, CEO Trusted AI and host interviews with industry leaders on challenges in operationalization of AI Trust. Answer ā€˜Can Trustworthy AI be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™?

    For questions or comments on this podcast reach out to me https://www.linkedin.com/in/buildingtrustedaiholistically/

    To request an AI adoption risk assessment: Trusted AI https://www.trustedai.ai/strategic-ai-risk-governance-compliance/

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment

  • In this episode I speak with Manuj Aggarwal, a global AI thought leader and host of podcast ā€˜bootstrap your dreamsā€™. We discussed an Computer Vision application his company Tetranoodle helped bring to market in additive manufacturing, printed orthotics, that helps analyze and ease foot pain.
    Manujā€™s podcast, Bootstrapping Your Dreams, is one of the top-rated podcasts in the world, claiming the number one spot in the business and entrepreneurship category. As an expert in human psychology and growth hacking, Manuj believes in getting to the root of why people do things in order to shape business strategy.

    Computer vision is a field of artificial intelligence (AI) that trains computers to see, interpret and understand the world around them through machine learning techniques.

    Which Trusted AI's Essential Pillars of Trustworthy AI do we need for this application? Is it explainability? Can existing regulations such as HIPPA impact the protection of PII?

    Implementing the correct Trust AI principles can be complex. Many companies are partnering with Trusted AI experts who can provide relevant guidance. I am Pamela Gupta, CEO Trusted AI and host interviews with industry leaders on challenges in operationalization of AI Trust. Get an answer ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AI?'

    For questions or comments on this podcast reach out to me https://www.linkedin.com/in/buildingtrustedaiholistically/

    To request an AI adoption assessment: Trusted AI https://www.trustedai.ai/strategic-ai-risk-governance-compliance/

    Can Trustworthy AI help De-Risk adoption of AI? ā€˜Can Trustworthy AI can be instrumental in helping organizations gain a competitive edge and promote better business outcomes, including accelerated innovation with AIā€™.?
    With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI. Read more details at Trustedai.ai website.

    Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures.

    Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.

    For questions or comments on this podcast reach out to me.
    To request an AI adoption assessment