Episodes
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Episode Summary
In this episode of Women in AI, hosts Reut and Jenny Kay Pollock engage with JoJo Platt, President of Platt & Associates, to discuss the integration of AI in healthcare through the lens of bio design. JoJo shares insights on how entrepreneurship can be learned, the importance of understanding problems before proposing solutions, and the role of diverse voices in AI development. The conversation also touches on the emerging trends in neurotech, the significance of human oversight in AI applications, and the future of AI in society. JoJo emphasizes the need for inclusivity and transparency in AI, as well as the potential for AI to improve quality of care and democratize access to technology.
Resources
Meet Our Guest: JoJo Platt Tulane AI & Healthcare Design LabKey Takeaways
AI in healthcare can be enhanced through bio design principles. Understanding the problem is crucial before developing solutions. Diverse voices in AI development lead to better outcomes. AI should be viewed as a tool, not the end product. Human oversight is essential in AI applications. AI can help us fail faster and learn from mistakes. Inclusivity and transparency are vital in AI integration. Emerging trends in neurotech are exciting and promising. AI democratizes access to technology and education. Entrepreneurship in tech can be learned and nurtured.Chapters
00:00 Introduction to Women in AI Podcast
03:01 Exploring the AI in Healthcare Design Lab
05:51 Tailoring Bio Design Principles to AI
08:41 Impact of Student Projects in AI and Healthcare
10:50 Emerging Trends in AI and Neurotech
12:34 Integrating AI in Healthcare Effectively
15:27 Ensuring Inclusivity and Safety in AI
17:45 The Role of Diversity in AI Development
19:28 Advice for Beginners in AI
22:12 Navigating Risks in Generative AI
24:19 The Future of AI: Possibilities and Concerns
27:17 Embracing Contrarian Thinking with AI
28:44 Personal Experiences with AI
32:11 AI in Professional Settings: Enhancing Quality
33:51 The Role of Corporations in AI Ethics
37:17 Women Leading in AI: Spotlight on Innovators
42:12 Building a Supportive Community in AI
45:49 FINAL WAAI Outro Video .mp4
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Episode Summary
The conversation explores the transformative impact of AI across various sectors, emphasizing its role in youth mental health, the rise of autonomous AI agents, and the importance of building trust in AI systems. Speakers share insights on how AI can enhance human capabilities, the need for responsible development, and the future of AI in collaboration with humans.
Join our speakers and moderator:
🔸 Greta McAnany (CEO, Blue Fever)
🔸 Saritha Prasad Vrittamani (Microsoft)
🔸 Somya Kapoor (TheLoops)
🔸 Neelu Shaikh (Human First AI)
🔸 Shelby Heinecke, PhD (Salesforce)
🔸 Anna Yuan (ScaleGrowth AI)
🔸 Yasmina Benkhoui (NVIDIA)
🔸Holly Uber (Venture Capital and Limited Partner)
Takeaways
Community building is essential for learning and growth. AI can enrich youth mental health support. Autonomous AI agents are transforming industries. Trust and safety are critical in AI applications. AI should augment human capabilities, not replace them. Understanding user needs is vital for effective AI solutions. AI can help in drug discovery and healthcare. Diverse teams are necessary for ethical AI development. AI can optimize operational efficiency in businesses. Continuous learning and adaptation are key in AI development.Chapters
00:00 Introduction and Setting the Stage 02:30 Greta's Journey in AI and Mental Health 13:41 Sreeja on Autonomous AI Agents 23:39 Somia on AI's Impact on Work and Society 36:40 Neelu on Ethics and the Future of AI 45:13 Navigating AI Regulations and Corporate Responsibility 51:41 The Rise of Small Language Models (SLMs) 01:01:39 Building Multi-Agent AI for Customer Success 01:15:17 Innovations in Conversational AI and Digital Avatars -
Episodes manquant?
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In this episode of Women and AI, hosts Jenny Kay Pollock and Lana A Dubinskiy chat with Jo Lambadjieva, an expert in e-commerce and AI integration. They discuss the transformative impact of AI on e-commerce, the importance of adapting marketing strategies to generational differences, and the necessity for brands to embrace AI tools. Jo shares her journey into AI, the role of AI in her newsletter, and highlights inspiring women in the AI community.
Resources:
Meet Our Guest:
Jo on LinkedIn
Amazing Wave Website
AI Tools & Resources:
Jo’s Ecommerce AI Newsletter:
Claude
ChatGPT
Perplexity
Poe
Who to Follow:
Heather Murray
Audrey Chia
Tara Thompson
Connect with Women And AI
Follow Women And AI on LinkedIn
Visit Women And AI Website
Takeaways
AI is becoming essential for e-commerce success.
Understanding customer data is crucial for brands.
Generational differences affect AI adoption strategies.
Brands should start using AI tools immediately.
AI can enhance marketing processes significantly.
Community support is vital for women in AI.
AI can help create effective customer personas.
Continuous learning about AI is necessary for brands.
AI tools can streamline content creation for newsletters.
Women in AI should uplift and support each other.
Chapters
01:44 - E-commerce and AI Integration
06:35 - The Future of AI in E-commerce
11:32 - Generational Differences in AI Adoption
15:15 - Getting Started with AI for Brands
20:03 - The Role of AI in Newsletters
24:57 - Jo's AI Origin Story
28:31 - Women Inspiring Women in AI
32:29 - Closing Thoughts and Community Support
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Episode Summary
In this episode, Melinda Coler, the founder and CEO of Conversa AI, discusses the future of hiring and how AI can be used to create a more human-centered hiring process. Conversa helps hiring teams identify the best candidate for the job by going beyond resumes and giving candidates a chance to share more. They use AI to have conversations with candidates and extract the best information to present to hiring managers. Melinda emphasizes the importance of using AI to mitigate bias in the hiring process and suggests that companies should educate candidates on how their hiring process works to reduce bias. She also highlights the need for candidates to apply even if they don't meet all the qualifications listed in a job description and encourages recruiters to ask candidates about how they measure success to identify relevant metrics. Melinda believes that AI will continue to play a role in hiring and job search, helping companies identify the best fit for any given job and making the process more efficient and equal for both sides.
Resources
Meet Our Guest
Malinda Coler
Conversa AI
Connect with Women And AI
Women And AI LinkedIn
Women And AI Website
Nominate a guest for our show
Key Takeaways
AI can be used to create a more human-centered hiring process by going beyond resumes and giving candidates a chance to share more.
Companies should use AI to mitigate bias in the hiring process and educate candidates on how their hiring process works to reduce bias.
Candidates should apply even if they don't meet all the qualifications listed in a job description, as they may have relevant experiences that they haven't identified.
Recruiters should ask candidates about how they measure success to identify relevant metrics and assess their suitability for a job.
AI will continue to play a role in hiring and job search, helping companies identify the best fit for any given job and making the process more efficient and equal for both sides.
Chapters
00:00 Introduction and Overview 01:03 Conversa: A Human-Centered Hiring Solution 02:01 Using AI to Enhance the Hiring Process 03:28 The Future of Hiring with AI 04:26 Reducing Bias in Hiring 05:25 Mitigating Bias with Conversa 07:25 Assessing AI Solutions for Bias Mitigation 08:24 Educating Candidates to Reduce Bias 09:22 Giving Candidates More Transparency 10:48 Applying for Jobs: Going Beyond Qualifications 11:47 Identifying Relevant Metrics for Success 13:12 Balancing Bias Mitigation and Result-Oriented Assessment 15:58 Mitigating Risks and Testing AI Solutions 18:22 The Role of AI in the Future of Hiring 20:40 The Power of AI in Streamlining Hiring Processes 23:24 Personal and Professional Use of AI 25:28 Recommendation: Pratika Mehta 28:10 How Listeners Can Help Convers -
In this episode, Jenny interviews Yovana Rosales, CEO and founder of AI Latina. They discuss the importance of self-care and how AI can be used to enhance productivity and efficiency. Jovana shares her experience in creating AI-powered meditations for self-compassion, natural beauty, and leadership. They also talk about the upcoming Hispanic Heritage Month and the need for allies to support and promote Latinx talent.
Yovana Rosales, founder of AI Latina, shares her journey from experiential marketing to AI education. She emphasizes the importance of diversity and inclusion in AI and the need for underrepresented communities to have a seat at the table. Yovana encourages patience and curiosity when learning about AI and highlights the role of community in supporting and uplifting each other. She also mentions the biases and discrimination within AI and the importance of including diverse voices in decision-making processes.
Takeaways
AI can be used to enhance self-care and productivity Hispanic Heritage Month is an opportunity to celebrate and showcase Latinx talent Allies can support Latinx talent by promoting their work and creating opportunities Yovana and Ruby Garcia will be speaking about the inner warrior in women at an upcoming event Diversity and inclusion are crucial in the field of AI, and underrepresented communities need to have a seat at the table. Including diverse voices in decision-making processes is necessary to address biases and discrimination in AI. -
Episode Summary
Barb Hyman, CEO and founder of Sapia.ai, discusses the inspiration behind creating an AI-driven recruitment solution. She emphasizes the importance of focusing on the problem and the customer rather than the technology itself. Barb highlights the inhumanity and bias in the hiring process that led her to develop Sapia.ai. She explains how the AI Smart Interviewer extracts features from language responses to assess candidates and ensure a positive and fair experience. Barb also discusses the risks and considerations in using AI and the need for transparency and trust in the AI industry.
Resources
Meet Our Guest
Barb Hyman
Sapia.ai
Connect with Women And AI
Women And AI LinkedIn
Women And AI Website
Nominate a guest for our show
Takeaways
Focus on the problem and the customer when developing AI solutions Address the inhumanity and bias in the hiring process with AI-driven solutions Ensure a positive and fair candidate experience with AI Smart Interviewer Consider the risks and challenges of using AI, including data privacy and security Transparency and trust are crucial in the AI industryChapters
00:00 Introduction and Background
01:06 Inspiration for Sapia.ai
05:54 AI Smart Interviewer
09:14 Ensuring a Positive and Fair Experience
12:30 Data Privacy and Security
17:42 Transparency and Trust in AI
20:48 Interview Questions and Assessments
21:18 Language Models and AI Tools
24:43 Impact of AI on Jobs and Skill Sets
26:57 The Future of Recruitment
32:49 Risks and Considerations in Using AI
38:03 Barb's Experience with AI
45:28 How the Women in AI Community Can Help
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Cindy Lin, a senior director and data scientist at Bundles Investing, discusses the application of AI in the finance industry. She highlights the use of machine learning in algorithmic trading and natural language processing for equity research. Cindy also explores the challenges of integrating AI into existing financial systems and the importance of understanding the audience and infrastructure.
Key Takeaways
AI has made a significant impact in the finance industry, particularly in algorithmic trading and natural language processing for equity research. Integrating AI into existing financial systems requires understanding the audience, infrastructure, and regulatory compliance. Common misconceptions about AI in finance include the belief that it guarantees high profits and the perception that implementation is difficult. Risks in AI finance include data quality issues, model bias, and regulatory compliance challenges. AI tools like Chai GPT and coding platforms have improved efficiency and accuracy in financial tasks. Collaboration and ideation events can help women in AI share resources and receive feedback on their ideas.Chapters
00:00 Introduction and Guest Introduction 02:42 The Impact of AI in Institutional Investing 05:06 Integrating AI into Financial Systems: Considerations and Challenges 07:59 Demystifying AI in Finance: Common Misconceptions 13:17 Ensuring Data Quality and Managing Model Risk in Finance 17:57 The Next Breakthroughs in AI for the Financial Sector 21:24 Staying Current with AI Trends: Recommended Resources 24:27 AI Tools for Finance: From Proofreading to Code Generation 28:12 Inspiration in the AI Community: Joyce Li 29:14 Collaboration and Feedback: Mini Shark Tank Events for Female Funders -
In this conversation, Jenny and Lana interview Saumya Putnagar, the CPO and co-founder of Involve.ai, an AI-driven early warning dashboard that helps companies predict churn and revenue growth opportunities using customer data. Saumya shares insights on how AI can help businesses find better leads, save time, and automate tedious tasks. She emphasizes the importance of responsible AI and offers advice for women looking to level up their AI careers. Saumya also discusses her own AI journey and recommends AI products like GitHub Copilot, Uizard, and Grammarly. She encourages listeners to start with simple AI tools and learn the art of prompting.
Takeaways
AI can help businesses find better leads and save time by automating tedious tasks. Responsible AI is crucial, and users should be mindful of privacy and potential risks. Women looking to level up their AI careers should trust their intuition and believe in themselves. Starting with simple AI tools and learning the art of prompting can be a great way to get started. Recommended AI products include GitHub Copilot, Uizard, and Grammarly.Chapters
00:00 Introduction and Guest Introduction
01:52 Using AI to Find Better Leads and Automate Manual Tasks
05:30 The Risks and Considerations of Using AI
07:54 Advice for Women in AI: Trust Your Intuition
10:40 The Future of AI: Incremental Innovation and Multi-Modal Applications
24:30 The Importance of Responsible AI
26:36 First Experiences with AI and the Potential of Generative AI
28:30 Top AI Product Recommendations
30:25 Women in AI and Valuable Resources
32:06 Starting with Simple AI Tools and Learning the Art of Prompting
34:16 Supporting and Connecting with Women in AI
35:41 Living in Different Cities and Startup Challenges
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In this episode, Ashley Gross, the founder and CEO of the Prompt Community, discusses the transformative impact of generative AI and the need for AI education and cross-collaboration.
Ashley also shares insights about the Prompt Community, which offers AI tutorials and connects members with AI founders. She talks about the first cohort of her course on building a business with AI and the benefits of community collaboration.
AI Tools:
Crimson Hexagon Butterfly AI Intercom Fireflies AITakeaways
AI education and cross-collaboration are essential for driving AI literacy and creating a diverse and inclusive space for learning. The Prompt Community offers AI tutorials and connects members with AI founders, providing a fun and inclusive learning environment. Building a business with AI requires addressing challenges such as poor business plans, lack of skills and knowledge, and product-market fit. AI tools like Crimson Hexagon, Butterfly AI, and Intercom can help businesses overcome these challenges and improve their operations. Understanding data privacy policies is crucial when using AI, and companies should prioritize transparency and user control over data. While AI may experience a boom and subsequent fatigue, the technology will continue to advance and decentralize data. Start with a problem and use AI as a tool to solve it. Favorite AI tools mentioned: Jasper and Read AI. Focus on finding AI tools that align with your needs and solve real problems. Support Ashley Gross in her goal to make it on the Forbes 30 under 30 list.Chapters
00:00 Introduction and Overview of the Prompt Community 02:54 Highlighting AI Founders in the Prompt Community 04:39 Building a Business with AI: First Cohort and Cross-Pollination 07:48 The Importance of Community Building and Verticals Seeing Changes 08:47 Challenges of Building a Business with AI and Recommended Tools 12:13 Understanding the Risks of Using AI and Data Privacy 19:52 The Future of AI: Predictions and Decentralizing Data 23:38 The Journey of AI: From Hype to Practicality 25:24 Ashley's First Experience with AI 27:46 Using AI in Personal and Professional Life 29:51 The Time-Saving Benefits of AI Tools 32:21 Getting Started with AI: Start with a Problem 34:52 Using AI to Improve Networking Skills 38:42 Supporting Up-and-Coming Women in AI 43:00 Asking for Help and Support -
In this episode, Neha Goel, a Sr. AI engineer at Microsoft, founder of N23 Studio, and Chair of Women in AI Leadership Program at AI 2030, discusses her work in the field of AI and its impact on healthcare.
She explains the concepts of deep learning, machine learning, and neural networks, highlighting their interconnectedness. Neha also introduces the concept of Retrieval Augmented Generation (RAG) and its use in generating relevant information using large language models and external knowledge.
She shares her personal career journey, including battling gender bias in the tech industry.
Takeaways
AI has a significant impact on the healthcare field, improving patient care, reducing administrative work for doctors, and enhancing customer support. Deep learning, machine learning, and neural networks are interconnected concepts in AI, with deep learning involving the use of neural networks to make machines learn. Retrieval Augmented Generation (RAG) combines large language models with external knowledge to generate relevant information and avoid hallucinations. Opportunities for AI exist in smaller use cases, such as content generation and productivity improvement. Start small and focus on specific use cases when exploring AI tools. N23 Studio provides a platform for individuals to share their AI learning journeys. The Women in AI community offers authentic connections and support for women in the field. The Impact of AI on Healthcare Overcoming Gender Bias: Neha Goel's Inspiring Career Journey The Importance of Real-World Application in Machine Learning Authentic Connections and Support: The Women in AI CommunityChapters
00:00 Introduction and Background 01:50 Neha Goel's Work at Microsoft 03:37 The Impact of AI in Healthcare06:34Exciting Emerging Trends in AI 09:43 Demystifying AI Terms: Deep Learning, Machine Learning, and Neural Networks 15:51 Understanding Retrieval Augmented Generation (RAG) 19:48 Overcoming Challenges: Neha Goel's Career Journey in Tech 26:57 From Coding to Founding: Neha's Journey 37:16 N23 Studio: A Place to Share Learning Journeys in AI 39:57 Assessing AI Risks and Opportunities 43:37 Making AI Accessible to Everyone -
In this episode, Jenny and Reut interview Ayla Annac, co-founder and CEO of Innovo Sciences, about AI's impact on healthcare and specifically on drug discovery for heart issues.
Ayla shares her personal journey and mission to find safe and effective drugs for heart failure, inspired by the loss of her father to the disease. She discusses the work of Innovo Sciences in developing cardiac precision discovery technologies that integrate patient-derived micro heart models and AI-driven diagnostics.
Takeaways
AI can play a crucial role in drug discovery for heart issues by integrating patient-derived micro heart models and AI-driven diagnostics. Diversity in clinical trials is essential to ensure the effectiveness and safety of drugs for different populations. AI has the potential to empower individuals in managing their health by providing personalized data and insights. Ethics and transparency are critical in AI development to ensure responsible and beneficial use of the technology. Empowering Individuals in Healthcare with AI AI's Impact on Drug Discovery for Heart IssuesChapters
00:00 Introduction to Ayla Annac and Innovo Sciences
04:01 Ayla's Personal Motivation and Mission
07:51 Patient-Derived Models and Precision Medicine
09:23 Matching Drugs to Subpopulations for Effective Treatment
13:00 The Importance of Diversity in Clinical Trials
14:50 Empowering Vulnerable Populations with AI
16:38 Ethical Use of AI in Healthcare
18:24 Keeping Humans in the Loop with AI
18:54 Protecting Small Creators and Ensuring Fair Innovation
20:44 Ethics and Integrity in AI
25:49 Connecting and Uniting with AI31:25Influential Women in the AI Space
34:44 Collaboration in Precision Cardiac Medicine Development
36:24 How the Women in AI Community Can Help
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Summary
In this episode, the hosts interview Lindsay Whitmer Collins, an expert in emerging AI trends and the founder of Welcome App Studio. They discuss Lindsay's journey as an entrepreneur, her work in AI. They also explore the importance of distributed AI and the potential for personal AI to connect directly without relying on big tech. The conversation explores the potential of distributed technology and the need for a new model of the internet that aligns incentives and promotes data sovereignty. Lindsey emphasizes the need for women to be active participants in AI.
Takeaways
Lindsay Whitmer Collins founded Welcome App Studio and has been recognized for her work in applying AI to different business verticals. She is currently working on two projects: That Thing I Told You About, a social network for sharing personal product recommendations, and Professional, a project supporting women's health using AI. Distributed AI offers the potential for a more democratic and decentralized internet, allowing for direct connections without relying on big tech. Personal AI has the potential to connect individuals directly and securely, with data sovereignty and privacy as key considerations. The future of AI lies in creating applications that provide expertise quickly and efficiently, using AI to digest and deliver relevant information. There is a need for more diverse voices and perspectives in AI to ensure inclusivity and address the needs of different communities. The current model of the internet is not aligned with distributed technology and data sovereignty, and a new model is needed. Blockchain and cryptocurrencies can be used to create a more equitable and personalized internet experience. Consolidation of power in AI raises concerns about data ownership and security. Women need to be active participants in AI and stay informed about its development and use. The Future of Personal AI The Potential of Distributed AI The Importance of Women in AIChapters
00:00 Introduction
03:09 Lindsay's Journey as an Entrepreneur
07:50 Building That Thing I Told You About
11:58 Supporting Women's Health with AI
18:05 The Potential of Distributed AI
24:04 The Future of Personal AI
27:05 Creating Applications that Provide Expertise
30:51 The Importance of Diverse Voices in AI
29:24 The Potential of Blockchain and Cryptocurrencies in the Internet
33:17 Concerns of Consolidation of Power in AI
35:30 The Importance of Women in AI
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Episode Summary
The conversation revolves around the panelists introducing themselves, discussing their career journeys in AI, and sharing their thoughts on the current state and future of AI.
They touch on topics such as the differentiation between hype and real AI, the challenges and concerns of AI proliferation, and the importance of ethics and transparency in AI development. The conversation explores the challenges and opportunities of AI in relation to data, bias, and gender representation. It emphasizes the importance of understanding and addressing biases in AI systems and the need for diverse and inclusive data sets.
The speakers discuss the potential of AI in healthcare, including drug discovery and improving access to care. They also highlight the need for more women in leadership roles in AI and VC funding. The conversation concludes with a call to action for increased participation, learning, and voicing perspectives in the AI field.
Takeaways
The panelists have diverse backgrounds and experiences in AI, ranging from computer science to medicine to business. AI adoption has been increasing globally, but it's important to differentiate between hype and real AI solutions. The pace of AI development raises concerns about security, configuration, and the need for infrastructure and policy adjustments. Transparency and ethics are crucial in AI development to address biases, hallucinations, and ensure responsible use of AI. Data quality and volume are key factors in AI success, and biases in data need to be identified and addressed. AI has the potential to revolutionize various industries and improve human lives, but it requires careful consideration and human-centered design. AI systems are trained with noisy data, and it is important to understand and address biases in these systems. Diverse and inclusive data sets are crucial for developing unbiased AI systems. AI has the potential to revolutionize healthcare by improving drug discovery and increasing access to care. There is a need for more women in leadership roles in AI and VC funding. Increased participation, learning, and voicing perspectives are essential for progress in the AI field.Chapters
00:00 Introductions and Backgrounds 06:41 Career Journeys and Inspiration 16:15 AI Adoption and Differentiating Hype 29:41 The Role of Humans in AI Development 32:15 Data Quality and Volume in AI 33:44 AI for Good and Addressing Diverse Populations 34:48 Continued Conversations and Collaboration 35:42 Addressing Bias and Diversity in AI Development 37:39 The Importance of Women in AI Leadership 38:35 Groundbreaking Opportunities for Women in AI 41:35 The Lack of Venture Funding for Women-Founded Startups 51:24 Evaluating AI Models and Metrics 57:11 Call to Action: Putting More Women in AI Leadership RolesResources
Meet Our Guests
Moderator: Pallavi Sharma, Founder witOmni AI Marketing
Panelists:
Dr. Sarah Benson-Konforty,General Partner at 1010VC, Board member of The Alliance for Artificial Intelligence in Healthcare
Chetna Mahajan, Chief Digital & Information Officer at Amplitude
Kim Carson,CEO and Founder at Parallax Futures
Janet George, Chief AI Digital Officer, Intel
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In this episode, Jenny and Lana interview Anna Santosh, founder of kraft AI, about her work in AI and her advice for business leaders.
Anna discusses the importance of demystifying AI and making it accessible to all, as well as the challenges and best practices for AI adoption. She emphasizes the need for strategic planning, governance, and upskilling when implementing AI in organizations.
Anna also shares her AI origin story and highlights the potential and risks of AI in the future. She encourages women to get involved in AI and bring diverse perspectives to shape the technology.
ResourcesMeet Our Guest
Ana Santhosh, Founder, kraft AI
kraft AI
AI Tools + Sources
Claude
Perplexity
ChatGPT - some of the previously paid features at the time of recording are now free
Genie by Gather
XKCD on Is it Worth the Time
XKCD on Automation
Who to Follow
Allie K Miller
Connect with Women And AI
Women And AI LinkedIn
Women And AI Website
Nominate a guest for our show
Takeaways
Demystifying AI and making it accessible is crucial for driving innovation and impact.
AI adoption requires strategic planning, governance, and upskilling.
Leaders should focus on solving customer problems rather than just building AI products.
Guardrails and policies are necessary to address the risks and security issues of AI.
Women's voices and diverse perspectives are essential for shaping the future of AI.
Chapters
02:12 Demystifying AI and Making it Accessible
06:19 Challenges and Best Practices for AI Adoption
13:52 Choosing the Right LLM Model
22:54 Understanding Neural Networks
25:41 Using AI in Work and Personal Life
27:49 Getting Started with AI
30:40 Addressing AI Risks and Security
34:57 The Potential and Risks of AI
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In this episode, Honey Yadav discusses the value of AI in business, the importance of customer data privacy and security, and the challenges and opportunities for women in AI. She emphasizes the need for a structured strategic approach to AI technology and the gap between industry use cases and AI solution deployment.
Honey highlights the measures taken by businesses to ensure data privacy and security, such as federated learning architectures and compliance management software. She discusses the risks and opportunities of responsible AI and the future of AI in various industries. Honey recommends articles and leaders to follow in the
Takeaways
AI technology requires a structured strategic approach for business use cases Businesses are taking measures to ensure customer data privacy and security Responsible AI has risks and opportunities that need to be considered AI has the potential to transform various industriesResources:
Meet Our Guest:
LinkedIn Page: Honey Yadav
Honey’s Website
Who to Follow:
Leslie K. John author of an article: Uninformed ConsentToju Duke author of the book Building Responsible AI Algorithms
Ozge Demirci author of article: Can Gender-Blind Algorithmic Pricing Eliminate the Gender Gap?
Connect with Women And AI
Women And AI LinkedIn
Women And AI Website
Nominate a guest for our show
Chapters
00:00 Introduction and Background of Hani Yadav 01:58 Identifying the Business Value of AI 04:57 The Importance of Privacy and Security in the Digital World 07:50 Addressing the Gender Gap in AI 10:44 The Risks and Opportunities of Responsible AI
13:36 The Future of AI in Various Industries -
Welcome to Women and AI. Your hosts Reut, Lana, and Jenny are in conversation with ChaVon (CJ) Clarke-Joell. She discusses her work in AI ethics and her role in promoting inclusion and diversity in AI. CJ talks about the need for global collaboration to address the challenges of the digital polycrisis. CJ also shares insights from her book, 'The Digital Polycrisis,' which provides strategies for navigating the complexities of the digital world. She emphasizes the importance of humanization and inclusivity in AI governance and ethics.
She emphasizes the importance of planting seeds of interest in AI from a young age and highlights her experience with Mia’s Global AI Leadership Program. She envisions a future where humans and AI work together, and encourages continuous learning and adaptation to stay relevant in the age of AI.
Join us on this journey to celebrate, educate, and empower women in AI. Visit our website at www.womenandai.com, and connect with us on LinkedIn at www.linkedin.com/company/women-and-ai to stay engaged with our mission.
Resources
Meet Our Guest
ChaVon (CJ) Clarke-Joell LinkedIn Get your copy here: https://books2read.com/b/mlyNzqAI Tools + Sources
Background on the Polycrisis
Women in AI Africa
Mia - Mission Impact Academy
Who to Follow
Tarja Stephens
Janna Salokangas
Connect with Women And AI
Women And AI LinkedIn
Women And AI Website
Nominate a guest for our show
AI Tools Used In This Episode
Eleven Labs Sounds Effects
Riverside AI Tools
Takeaways
Promoting inclusion and diversity in AI is crucial for creating a more equitable and ethical AI ecosystem.
Mindful privacy and ethical behavior are essential when using AI to protect personal information and prevent exploitation.
Global collaboration is necessary to address the challenges posed by the digital polycrisis and develop inclusive and effective solutions.
Humanization and inclusivity are key principles in AI governance and ethics, and there is a need for more diversity in these fields. Planting seeds of interest in AI from a young age can lead to future career paths in AI ethics.
Continuous learning and adaptation are crucial to staying relevant in the age of AI.
CJ's book is available in print, ebook, and soon in audiobook format.
Chapters
00:00 Introduction and Background of CJ 03:24 Addressing Infant and Maternal Mortality with the Evercare App 06:07 Navigating the Digital Polycrisis: Challenges and Solutions 29:10 The Importance of Diversity in AI Governance and Ethics 32:25 Overcoming Challenges: Women in AI 38:42 Empowering Women in AI: CJ's Book Launch -
Episode Summary
Sarah Benson-Konforty, a serial entrepreneur and investor, discusses the role of AI in healthcare and the challenges faced by women in the VC space. She emphasizes the importance of diversity on boards and the need for women to support one another. Sarah also shares her insights on the state of AI in venture capital and offers advice for startups seeking funding. She highlights the risks associated with AI tools and recommends tools like ChatGPT, Superhuman, and Otter for productivity. Sarah encourages women in AI to spread the word and connect with other founders.
Takeaways
AI has the potential to revolutionize healthcare by improving drug discovery, patient care, and decision-making processes. Women face unique challenges in the VC space, including limited access to capital and decision-making power. Diversity on boards is crucial for bringing different perspectives and domain expertise to the table. Startups should focus on solving real and crucial problems, rather than just using AI as a buzzword. AI tools like ChatGPT, Superhuman, and Otter can enhance productivity and streamline tasks. Women in AI should support one another and share their experiences to create a more inclusive and diverse industry.Tools
ChatGPT
SuperHumans
RemixAI
Dall-E
MidJourney
Otter.AI
Books recommendation
Live 3 .0 Being Human in the Age of Artificial Intelligence by Max Tegmark.
The Alignment Problem, Machine Learning, and Human Values by Ryan Christian.
Be Board Ready by Betsy Atkins
Resources
Sarah Benson-Konforty LinkedIn
AAIH Website
Pepticom Website
1010VC
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Summary
In this episode, Reut, Jenny, and Lana interview Kara Peterson, the founder of Descrybe.AIi, a generative AI legal search engine. Kara shares her journey of starting the company and the motivation behind it. She discusses the challenges of legal research and the access gap in the legal system. Kara explains how AI can be used to make legal research more accessible and the potential impact it can have on closing the justice gap. She emphasizes the importance of diversity and inclusion in the AI space.
Takeaways
describe.ai is a generative AI legal search engine that aims to make legal research more accessible
The legal system has an access gap, with limited access to legal information and services for many people
AI has the potential to close the justice gap by providing tools for legal research and improving access to legal information
Diversity and inclusion are crucial in the AI space to ensure that the benefits of AI are accessible to all
Listeners are encouraged to explore AI in their areas of interest and get involved in the AI community
Resources:
Meet Our Guest
Connect with Kara
Descrybe.AI
AI Tools + Sources
Open AI (not ChatGPT)
Justice Technology Association
Who to Follow
Kassi Burns, legal tech expert
Justice Technology Association
Message Kara to join AI Baddies if you’re in legal tech
Connect with Women And AI
Women And AI LinkedIn
Women And AI Website
Nominate a guest for our show
Chapters
00:00 Introduction and Topic 04:43 The Justice Gap and AI-driven Legal Research 09:01 The Future of Describe.ai and Legal Tech 21:21 The Justice Tech Association 26:22 The Optimism and Hope in the AI Industry 33:41 Inspiring Women in the AI Space 37:09 Supporting Describe with AI and the Justice Technology Association -
Summary
In this conversation, Amanda Farris and Sarah Malo from LinkUnite discuss their experiences with AI and its impact on their community. They talk about how LinkUnite started as a support network for women in the industry and has grown into a platform that connects and empowers entrepreneurs and executives. They also discuss the practical applications of AI in various aspects of their work, such as content creation, event organization, and social media management. They emphasize the importance of creativity and experimentation when using AI and provide advice for getting started with AI tools. They also touch on the risks and privacy concerns associated with AI. The conversation covers various topics related to AI, including the challenges of using large language models, the potential risks of proprietary data, the future of AI, the experiences of women in the AI industry, and the importance of collaboration and mentorship. The guests also discuss their own work in the AI space and their goals of making AI more accessible through their platform, Not So Artificial.
Takeaways
LinkUnite started as a support network for women in the industry and has grown into a platform that connects and empowers entrepreneurs and executives. AI has practical applications in various aspects of work, such as content creation, event organization, and social media management. Creativity and experimentation are key when using AI tools. Getting started with AI can be as simple as playing with tools like ChatGPT and exploring their capabilities. There are privacy concerns and risks associated with using AI, especially when it comes to proprietary data and privacy regulations. Be cautious when using large language models with proprietary data, as it may become owned by the platform provider. The development of AI will bring both exciting opportunities and potential risks, such as privacy concerns and the creation of AI replicas of individuals. Women are making significant contributions to the AI industry and it is important to support and mentor each other. LinkedIn is a valuable platform for staying updated on AI news and connecting with thought leaders in the field. Collaboration and creativity are key in shaping the future of AI and making it more accessible. Not So Artificial aims to make AI accessible by providing resources, tutorials, and practical applications of AI. The guests encourage listeners to reach out and collaborate with them in the AI space.Chapters
00:00 Introduction and Background
03:09 New Chapter
03:57 The Impact of AI on LinkUnite and the Community
10:50 AI Origin Stories: How Amanda and Sarah Started Using AI
11:47 Getting Started with AI: Advice and Recommendations
19:29 AI in Personal and Work Environments: Creative Applications
24:43 AI in Event Organization and Parenting
25:58 AI in Marketing: Practical Applications and Demystification
27:33 The Risks of Using AI in the Workplace
29:07 The Exciting Future of AI
34:03 Women in AI: Collaboration and Mentorship
38:09 Not So Artificial: Making AI Accessible
41:55 Sara Malo's Blog: Sharing Experiences and Advice
44:24 FINAL WAAI Outro Video .mp4
Resources
Meet Our Guests
LinkUnite LinkedIn
Amanda Farris
NotSoArtificial
Sara Malo - Sunday coffee with Sarah ☕
Sara's Blog
AI Tools + Resources
Amanda's Notes - Links & Resources
Reid Hoffman Meets His AI Twin
Abundance by Peter Diamandis
Who to Follow
Lauren Ingram
Wendy Hall
Beth Conn from Neura
Nancy Bain
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In this episode of Women and AI your hosts Reut, Jenny, and Lana interview Jigyasa Grover, an AI research lead and co-author of the book 'Sculpting Data for Machine Learning'. This episode provides a technical deep dive into AI. We discuss the differences between AI, ML, and LLMs, the use of large language models in AI systems, and the importance of ethics and human-centered design in AI development. Jigyasa shares her experience as a woman in the AI field and the need for diversity and inclusion. She recommends AI products like Gemini, Grammarly, and Copilot, and discusses the future of AI in various industries.
Join us on this journey to celebrate, educate, and empower women in AI.
Takeaways
AI engineers develop systems that can learn and make decisions without explicit programming.
AI can be thought of as a broad field that encompasses various techniques for creating machines that can mimic human intelligence.
ML is a subfield of AI that focuses on developing algorithms that allow machines to learn from data.
LLMs are machine learning models designed to understand and generate human-like text.
Python is the dominant language for LLM development, while JavaScript and TypeScript are used for web interfaces.
Ethics and human-centered design are crucial in AI development to ensure fairness, privacy, and trust.
AI adoption is expected to continue growing across industries, with a focus on ethical and responsible AI practices.
Collaboration, networking, and community engagement are important for women in the AI field.
Recommended AI products: Gemini, Grammarly, and Copilot.
Chapters
00:00 Introduction and Welcome
00:55 Guest Introduction: Jigyasa Grover
04:43 Tools and Libraries for AI Development
07:31 Evaluating AI Models
12:07 AI in Various Industries
14:13 Bridging the Gender Gap in the AI Field
21:02 Integration of AI into Everyday Life
23:28 Inspiring Women in AI: Dr. Fei-Fei Li
25:04 Risks and Considerations in Using AI
26:48 The Future of AI
29:57 Recommended AI Products
32:15 Women in AI Listener Support
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