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  • Beyond Honeypots: Privacy, Security, and the Future of Distributed Webs

    Beyond Honeypots: Privacy, Security, and the Future of Distributed Webs

    · Terms of Service Podcast

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    Episode Summary

    In this episode of Terms of Service, host Mary Camacho interviews Liz Steininger, CEO of Least Authority, to discuss privacy, security, and decentralization in the tech space. They explore the principles of least authority, the challenges of security in blockchain and Web3, and the delicate balance between convenience, transparency, and privacy. Liz shares insights into security-by-design, user empowerment, and the journey of implementing zero-knowledge proofs.

    Key TakeawaysThe principle of "least authority" minimizes access to prevent vulnerabilities in tech systems.Transparency vs. privacy: striking a balance is key to user trust and security.Zero-knowledge proofs (like those explained in the MoonMath Manual) offer powerful tools for encryption without sacrificing usability.Distributed systems reduce the risks of centralized honeypots but increase the responsibility of endpoints for security.Marketing can overshadow security concerns in blockchain projects, highlighting the need for better industry standards.Topics Covered / Timestamped Sections01:15 - Introduction to Liz and Least Authority’s mission of "security and privacy for all."02:40 - Origins of the company and the principle of least authority.08:52 - Decentralization and its impact on user agency and security.10:40 - Common misconceptions about internet security and privacy.19:32 - Designing security that balances user convenience with effectiveness.23:00 - The MoonMath Manual and its role in democratizing zero-knowledge proofs for developers.35:11 - Evaluating blockchain projects: signals for trustworthy security practices.42:50 - Liz’s "magic wand" wish for the tech industry: fostering openness about security failures.Guest Bio and Links

    Liz Steininger is an advocate for privacy and security in technology and she leads efforts to create tools that empower users while pushing for stronger security standards across the industry. Liz is the CEO and managing director of Least Authority, a leading Web3 security consulting company and builder of privacy enhancing technology products. The company focuses on cutting edge security and empowering users to control their right to privacy and they specialize in securing Web3 products, consulting and auditing for capability based security, and implementing advanced cryptography, especially zero knowledge proofs and multi-party computations.

    Liz is an experienced entrepreneur, growing least authority over the last seven years. And prior to that, she was the senior program manager at the Open Technology Fund. She has over 22 years of experience in the tech industry, working on numerous projects at the edge of innovation. She has an MS in management and technology and a bachelor's degree in digital media. 

    LinkedIn ProfileLeast Authority WebsiteTwitterResources MentionedZero-Knowledge Proofs - Advanced encryption technique enabling data validation without revealing the data itself.MoonMath Manual guide for creating zero-knowledge snarks with only high school math: Read MoreCall to Action

    Did this episode get you thinking about privacy and security? Subscribe to Terms of Service for more conversations like this, and share your thoughts with us using #PrivacyMatters and #TermsOfServicePodcast.

    Credits

    Host: Mary Camacho

    Guest: Liz Steininger

    Terms of Service Podcast Produced by: Mary Camacho & Nicole Klau Ibarra

  • From AI Anxiety to IP Integrity: Navigating Rights in a Tech-Driven World

    From AI Anxiety to IP Integrity: Navigating Rights in a Tech-Driven World

    · Terms of Service Podcast
    From AI Anxiety to IP Integrity: Navigating Rights in a Tech-Driven World

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    Episode Summary

    In this episode, host Mary Camacho sits down with Van Lindberg, a legal expert in technology and intellectual property, to explore the shifting landscape of AI and creator rights. They dive into how generative AI impacts the rights of creators, the legal nuances behind content training, and the fears surrounding AI’s growing influence on creative industries.

    Key TakeawaysAdobe's generative AI tool, Firefly, initially raised concerns about user content being used for AI training, sparking debates about trust and IP rights.Many fears around AI stem from potential shifts in traditional business models, not just direct copying.Generative AI doesn't "store" works but uses statistical measurements to create new content, distinguishing it from traditional copyright infringements.The implications of AI extend beyond just art or writing; technology disrupts industries by altering skill demands and business models.Topics Covered / Timestamped Sections00:01 - Introduction to Van Lindberg and the legal changes with AI00:47 - Adobe’s Firefly and controversy over AI training on user-uploaded content03:43 - Subscription-based business models and user trust05:19 - The difference between business model shifts and AI-specific issues07:51 - Copyright law’s stance on learning from existing works vs. copying10:03 - The need for defining AI in nuanced terms for clearer policiesGuest Bio and Links

    Van Lindberg is an intellectual property attorney with Taylor English specializing in the intersection of computer technology and law. Mr. Lindberg has been named one of “America’s Top 12 Techiest Attorneys” by the American Bar Association Journal and was recognized as one of the world’s top IP strategists by Intellectual Asset Management magazine.

    Mr. Lindberg specializes in open-source law and strategy, which has been his major focus for more than twenty-five years. He is the author of O’Reilly’s “Intellectual Property and Open Source,” and co-editor of the Open Source casebook. He also serves with many open-source foundations as a board member and legal counsel.

    Mr. Lindberg is an expert in the emerging field of AI law, where he helps clients with the legal issues associated with creating and training machine learning models, using machine learning models to develop systems with novel capabilities, and using inference to generate new works.

    In addition to Mr. Lindberg’s legal work, he is the founder of OSPOCO, the Open Source Program Office-as-a-Service company that pairs technical and community expertise with legal oversight and expertise. He develops natural language processing tools in his spare time and prefers programming in Python.

    LinkedIn ProfileTwitterResources MentionedAdobe's Firefly and Adobe Stock Photo LibraryLegal definitions of AI in policy and IP lawHistorical context of AI since the 1950sCall to Action

    Enjoyed this episode? Subscribe, rate, and share to support the show on Apple Podcasts, Spotify, PocketCast or wherever you listen.

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    Credits

    Host: Mary Camacho

    Guest: Van Lindberg

    Terms of Service Podcast Produced by: Mary Camacho & Nicole Klau Ibarra

    Music, Sound & Editing: Arthur Vincent at Sonorlab

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  • Sample - Terms of Service Podcast

    Sample - Terms of Service Podcast

    · Terms of Service Podcast
    Welcome to the Terms of Service Podcast

    In this sample-trailer, Mary is chatting with Catherine Stihler, former MEP from Scotland and former Executive Director of the Creative Commons.