『AI Snacks With Romy & Roby: Democratizing AI Technologies』のカバーアート

AI Snacks With Romy & Roby: Democratizing AI Technologies

AI Snacks With Romy & Roby: Democratizing AI Technologies

著者： Dr. Anastassia Lauterbach: Democratizing AI Expert
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AI Snacks with Romy&Roby is a podcast that translates AI and robotics technologies from complex scientific concepts into easy-to-understand discussions, making them accessible for teens, parents, teachers, and anyone curious about AI. Through real-world stories and expert interviews, the show is dedicated to democratizing AI knowledge and empowering the general population to understand how AI is developed and applied in everyday life. The podcast is part of the Romy&Roby and AI Edutainment universe.Copyright 2024
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  • 93: Can AI Be Empathetic? Human Agency, AI Ethics & Why Trust in AI Is Falling, with Andrew Phipps

    93: Can AI Be Empathetic? Human Agency, AI Ethics & Why Trust in AI Is Falling, with Andrew Phipps
    2026/09/22
    Summary:Can a machine put itself in your shoes? In this episode, Dr. Anastassia Lauterbach talks with Andrew Phipps - a PhD researcher in philosophy at the University of Sussex focusing on AI ethics and empathy, and host of the Empathy Unbound podcast, whose 120+ conversations with researchers, clinicians, founders, psychologists, and neuroscientists serve as his philosophical field work.Andrew left a corporate career - managing over a thousand people across fifty countries — to research the question he couldn't find answered anywhere: what does a positive relationship between humans and AI actually look like? Key Takeaways:Agency is the heart of AI literacy. You can't decide about something you don't truly understandYoung people are not one group. Some refuse AI on environmental grounds, some fear the graduate jobs their parents had are vanishing, some see an entrepreneurial opening, and some embrace it for everything.Educate the educators. “Don't use AI for your homework” is not AI education. Teachers are expected to guide students without being trained themselves.Licenses are not a strategy. Ten thousand AI licenses without training is a pen without writing lessons.Nobody knows who owns AI. Unlike ordinary IT, AI belongs to the whole business — which is why it often belongs to no one. The average Chief AI Officer lasts eighteen months: barely time to learn the organization, let alone change it.AI itself cannot be ethical. It answers based on how you structure the question and what it predicts comes next. Ethics and morality live with the individuals and companies that set standards for its use.Readiness before rollout. Roughly 30% of people admit to sabotaging AI programs they fear.The trust gap is about power, not answers. Around 70% of people in China express trust in AI versus roughly 30% in the US — where trust in AI now rivals trust in politicians. What people distrust is not the output but AI's position in society: enormous power concentrated in a few largely unregulated companies led by a handful of charismatic founders.Purpose is the hidden stake. If AI and universal basic income ever detach humans from the need to work, psychologists fear for the human psyche: we have always operated with purpose.AI cannot feel empathy — and pretending otherwise is dangerous. Empathy means understanding another's feelings and acting as a consequence. AI predicts; it does not feel, reason, or possess theory of mindChapters:00:00 Introduction to AI Literacy and Human Agency03:01 Andrew Phipps: Transitioning to AI Ethics Research06:13 Understanding Human Agency in the Age of AI07:47 Generational Perspectives on AI and Employment11:51 The Role of Education in AI Literacy13:56 Preparing Educational Systems for AI Integration18:30 Corporate Approaches to AI Integration22:51 Ethical Considerations in AI Development28:27 Trust in AI and Its Societal Implications31:16 Purpose and Employment in an AI-Driven World33:55 Empathy and AI: Can Machines Understand Us?Hyperlinks:Andrew Phipps on LinkedInEmpathy Unbound ChannelAnastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3) First Public Reading, Romy, Roby and the Secrets of Sleep (2/3) First Public Reading, Romy, Roby and the Secrets of Sleep (3/3) AI Snacks with Romy and Roby@romyandroby “Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby Book
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    41 分
  • 92: When AI Attacks: Inside the Mind of a CISO with Yaron Levi

    92: When AI Attacks: Inside the Mind of a CISO with Yaron Levi
    2026/09/15
    Summary:Anastassia sits down with Yaron Levi, CISO of Dolby Laboratories and one of the world's most respected security leaders, to unpack the reality of AI-powered cyberattacks: from AI-generated phishing at massive scale to the first documented AI-orchestrated cyber espionage campaign. Yaron explains why the fundamentals of security haven't changed — but the speed and volume of attacks have — and why decades of technical debt are now every organization's soft underbelly.Yaron has over 20 years of hands-on experience across enterprise security, startups, and the intersection of AI and education. Prior to Dolby, Yaron was CISO of Blue Cross and Blue Shield of Kansas City, Deputy CISO at Cerner Corporation, an Information Security Business Partner at Intuit, and a Security Architect and Product Manager at eBay. He is a Research Fellow of the Cloud Security Alliance (CSA), a graduate of the FBI CISO Academy, a Boardroom Certified Qualified Technology Expert (QTE), and a venture advisor to multiple VCs and security startups.Key Takeaways:AI democratizes attack capability with LLMs lowering the bar;The fundamentals haven't changed: Breach causes remain the same year after year (compromised credentials, misconfigurations, phishing). AI simply finds and exploits them dramatically faster;Technical debt is the new attack surface with forgotten accounts, stale permissions, and abandoned servers;Third-party risk needs a rethink. Questionnaires and certifications don't guarantee anything; measuring how much you can trust a partner matters more than measuring what they might be hiding;Cybersecurity is still a young industry without one common standard. Despite ISO, NIST, and many frameworks, CISO collaboration remains largely informal — community and information sharing are essential;Start with the business, then threat model and communicate risk with a "pyramid of security needs;" Breaches rarely kill big brands — but can kill small companies. Reputation matters, yet resilience and the ability to recover matter more; repeated, unlearned-from incidents are what truly erode trust;Advice to vendors: be partners, not sellers;Data quality is king. Garbage in, garbage out: AI forces organizations to audit what data they have, retire stale data, and sometimes give old data new life;Optimism for the next generation. Like the cloud wave of 2009–2010, AI will create opportunities we can't yet imagine — it has never been easier to learn, build, and start a company.Chapters:00:00 Introduction to AI and Cybersecurity Challenges03:02 The Dual Nature of AI: Opportunities and Threats05:15 Evolving Cybersecurity Landscape: The Role of AI10:23 Addressing Speed and Human Factors in Cybersecurity13:05 Third-Party Risks in the Age of AI18:38 Collaboration Among CISOs: A Collective Approach to Security22:45 Communicating Cybersecurity Risks to Leadership24:02 Understanding Cybersecurity Needs26:56 The Pyramid of Security Needs27:54 The Role of Trust in Cybersecurity30:29 Advice for Cybersecurity Vendors34:29 Surprising Trends in Cybersecurity37:30 The Impact of AI on Data Analysis40:30 Navigating the Job Market in the Age of AIHyperlinks:LinkedIn Yaron LeviX / Twitter Yaron LeviDark Reading author page (articles)https://www.darkreading.com/author/yaron-leviAnastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3) First Public Reading, Romy, Roby and the Secrets of Sleep (2/3) First Public Reading, Romy, Roby and the Secrets of Sleep (3/3) AI Snacks with Romy and Roby@romyandroby “Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby Book
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    46 分
  • 91: What AI Can't Learn with César Hidalgo

    91: What AI Can't Learn with César Hidalgo
    2026/09/08
    Summary:What does knowledge mean in the age of AI? Anastassia talks to César A. Hidalgo, known for pioneering work on economic complexity, data visualization, and applied artificial intelligence.Key Takeaways:AI's knowledge is jagged. Think of the economy as a game of Scrabble. AI hands you many Rs, As, and Ts but no Us or Es. Work that needs the letters AI provides accelerates dramatically; work that depends on the missing ones becomes the bottleneck. Someone with real architecture experience gets far more out of a coding agent than someone building blind.Complementarity beats substitution. An organization's AI results depend on whether its people hold skills complementary to what the model does well. If they do, expect enormous acceleration; if they don't, expect half-baked output.Judgment is the scarce human asset. AI is very smart but does not choose directions. The future belongs to organizations built around people who can see where a system is heading and form teams around that insight. Judgment is hard to observe, but it is essential in a changing, uncertain environment.Progress does not require understanding. For most of history, technology advanced through practices that worked without anyone knowing why. Even today, many discoveries come from an unexpected impurity or an exploratory detour rather than a fully prescriptive theory. Exploration remains central.Use AI as a telescope, in your own field. AI is a tool for exploring codified knowledge, but exploration is always tied to the skill of the explorer. Plausible-sounding errors are much easier to catch in a domain where you already have expertise.Knowledge loves density. Ecuador spent one percent of GDP on Yachay, a greenfield “city of knowledge” that wanted to be good at everything in ten years; construction stalled, the supercomputer is unmaintained, and water still arrives by truck. Beijing's Zhongguancun instead bet on a single street, with government-private guiding funds, and became the template for China's shift from mass manufacturing to mass innovation.Most AI pilots fail because that is how evolution works. Attention and money are flooding into AI, so many attempts fail and a few succeed and get copied, just as web companies did in 1997.Chapters:00:00 Intro / Exploring Knowledge in the Age of AI02:26 Cesar Hidalgo: A Journey from Physics to Economics04:49 Understanding Knowledge: Factual, Conceptual, and Procedural07:40 The Laws of Knowledge and Economic Growth09:02 Tacit Knowledge: The Hidden Driver of Innovation14:01 Capturing Tacit Knowledge in Organizations19:08 The Decay of Knowledge and Its Implications20:25 AI and Human Learning: A Complementary Relationship24:45 Digital Twins: The Future of Knowledge Representation28:32 Understanding vs. Knowledge: The Key to Innovation29:06 The Role of Understanding in Technological Progress30:31 Exploration and AI: Navigating Knowledge32:34 The Value of Knowledge in Corporate Acquisitions34:33 Innovation Ecosystems: Lessons from Success and Failure38:10 Advising Fortune 50 Companies on Knowledge Management44:46 Leadership and Decision-Making in Innovation49:27 Challenges of AI Implementation and the Role of ScarcityBooks by César Hidalgo:The Infinite Alphabet: And the Laws of Knowledge (Penguin / Allen Lane, 2025): Penguin UKWhy Information Grows: The Evolution of Order, from Atoms to Economies (Basic Books, 2015)How Humans Judge Machines (MIT Press, 2021)The Atlas of Economic Complexity: Mapping Paths to Prosperity (MIT Press, 2014)Hyperlinks:César Hidalgo WebsiteCenter for Collective LearningToulouse School of Economics César Hidalgo profileCompany DatawheelCésar Hidalgo X (Twitter)César Hidalgo LinkedInAnastassia Interviewing César HidalgoAnastassia Lauterbach - LinkedInAI Snacks with Romy and Roby@romyandroby “Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby Book
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    57 分
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