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Pondering AI

Kimberly Nevala, Strategic Advisor - SAS

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How is the use of artificial intelligence (AI) shaping our human experience? Kimberly Nevala ponders the reality of AI with a diverse group of innovators, advocates and data scientists. Ethics and uncertainty. Automation and art. Work, politics and culture. In real life and online. Contemplate AI’s impact, for better and worse. All presentations represent the opinions of the presenter and do not represent the position or the opinion of SAS.
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We will be bringing you a podcast about Brazilian Jiu-Jitsu, and we have good times while we do it. We hope to flatten your Jiu-Jitsu learning curve, help you get the most out of your grappling ability, and meet your goals both on and off the mat. We have interviews with some of the top BJJ competitors, articles about BJJ, and some of our favorite quotes.
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Dr. Marisa Tschopp explores our evolving, often odd, expectations for AI companions while embracing radical empathy, resisting relentless PR and trusting in humanity. Marisa and Kimberly discuss recent research into AI-based conversational agents, the limits of artificial companionship, implications for mental health therapy, the importance of radi…
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John Danaher assesses how AI may reshape ethical and social norms, minds the anticipatory gap in regulation, and applies the MVPP to decide against digitizing himself. John parlayed an interest in science fiction into researching legal philosophy, emerging technology, and society. Flipping the script on ethical assessment, John identifies six (6) m…
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Ben Bland expressively explores emotive AI’s shaky scientific underpinnings, the gap between reality and perception, popular applications, and critical apprehensions. Ben exposes the scientific contention surrounding human emotion. He talks terms (emotive? empathic? not telepathic!) and outlines a spectrum of emotive applications. We discuss the po…
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Philip Rathle traverses from knowledge graphs to LLMs and illustrates how loading the dice with GraphRAG enhances deterministic reasoning, explainability and agency. Philip explains why knowledge graphs are a natural fit for capturing data about real-world systems. Starting with Kevin Bacon, he identifies many ‘graphy’ problems confronting us today…
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Matthew Scherer makes the case for bottom-up AI adoption, being OK with not using AI, innovation as a relative good, and transparently safeguarding workers’ rights. Matthew champions a worker-led approach to AI adoption in the workplace. He traverses the slippery slope from safety to surveillance and guards against unnecessarily intrusive solutions…
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Heidi Lanford connects data to cocktails and campaigns while considering the nature of data disruption, getting from analytics to AI, and using data with confidence. Heidi studied mathematics and statistics and never looked back. Reflecting on analytics then and now, she confirms the appetite for data has never been higher. Yet adoption, momentum a…
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Marianna B. Ganapini contemplates AI nudging, entropy as a bellwether of risk, accessible ethical assessment, ethical ROI, the limits of trust and irrational beliefs. Marianna studies how AI-driven nudging ups the ethical ante relative to autonomy and decision-making. This is a solvable problem that may still prove difficult to regulate. She posits…
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Miriam Vogel disputes AI is lawless, endorses good AI hygiene, reviews regulatory progress and pitfalls, boosts literacy and diversity, and remains net positive on AI. Miriam Vogel traverses her unforeseen path from in-house counsel to public policy innovator. Miriam acknowledges that AI systems raise some novel questions but reiterates there is mu…
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Melissa Sariffodeen contends learning requires unlearning, ponders human-AI relationships, prioritizes outcomes over outputs, and values the disquiet of constructive critique. Melissa artfully illustrates barriers to innovation through the eyes of a child learning to code and a seasoned driver learning to not drive. Drawing on decades of experience…
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Shannon Mullen O’Keefe champions collaboration, serendipitous discovery, curious conversations, ethical leadership, and purposeful curation of our technical creations. Shannon shares her professional journey from curating leaders to innovative ideas. From lightbulbs to online dating and AI voice technology, Shannon highlights the simultaneously bea…
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Sarah Gibbons and Kate Moran riff on the experience of using current AI tools, how AI systems may change our behavior and the application of AI to human-centered design. Sarah and Kate share their non-linear paths to becoming leading user experience (UX) designers. Defining the human-centric mindset Sarah stresses that intent is design and we are a…
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Simon Johnson takes on techno-optimism, the link between technology and human well-being, the law of intended consequences, the modern union remit and political will. In this sobering tour through time, Simon proves that widespread human flourishing is not intrinsic to tech innovation. He challenges the ‘productivity bandwagon’ (an economic maxim s…
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Professor Rose Luckin provides an engaging tutorial on the opportunities, risks, and challenges of AI in education and why AI raises the bar for human learning. Acknowledging AI’s real and present risks, Rose is optimistic about the power of AI to transform education and meet the needs of diverse student populations. From adaptive learning platform…
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Katrina Ingram addresses AI power dynamics, regulatory floors and ethical ceilings, inevitability narratives, self-limiting predictions, and public AI education. Katrina traces her career from communications to her current pursuits in applied AI ethics. Showcasing her way with words, Katrina dissects popular AI narratives. While contemplating AI FO…
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Paulo Carvão discusses AI’s impact on the public interest, emerging regulatory schemes, progress over perfection, and education as the lynchpin for ethical tech. In this thoughtful discussion, Paulo outlines the cultural, ideological and business factors underpinning the current data economy. An economy in which the manipulation of personal data in…
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In this episode, John and Sven answer questions from podcast listeners. Topics covered include: the relationships between animal ethics and AI ethics; religion and philosophy of tech; the analytic-continental divide; the debate about short vs long-term risks; getting engineers to take ethics seriously and much much more. Thanks to everyone that sub…
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What does the future hold for humanity's relationship with technology? Will we become ever more integrated with and dependent on technology? What are the normative and axiological consequences of this? In this episode, Sven and John discuss these questions and reflect, more generally, on technology, ethics and the value of speculation about the fut…
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In this episode, Sven and John talk about relationships with machines. Can you collaborate with a machine? Can robots be friends, colleagues or, perhaps, even lovers? These are common tropes in science fiction and popular culture, but is there any credibility to them? What would the ethical status of such relationships be? Should they be welcomed o…
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In this episode Sven and John discuss the moral status of machines, particularly humanoid robots. Could machines ever be more than mere things? Some people see this debate as a distraction from the important ethical questions pertaining to technology; others take it more seriously. Sven and John share their thoughts on this topic and give some guid…
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In this episode, Sven and John discuss the controversy arising from the idea moral agency in machines. What is an agent? What is a moral agent? Is it possible to create a machine with a sense of moral agency? Is this desirable or to be avoided at all costs? These are just some of the questions up for debate. You can download the episode here or lis…
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In this episode Sven and John discuss the thorny topic of responsibility gaps and technology. Over the past two decades, a small cottage industry of legal and philosophical research has arisen in relation to the idea that increasingly autonomous machines create gaps in responsibility. But what does this mean? Is it a serious ethical/legal problem? …
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In this episode, John and Sven talk about the role that technology can play in changing our behaviour. In doing so, they note the long and troubled history of philosophy and self-help. They also ponder whether we can use technology to control our lives or whether technology controls us. You can download the episode here or listen below. You can als…
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Dr. Erica Thompson reflects on Making Model Decisions about and with AI. In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Erica’s book Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do About It…
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Roger Spitz reflects on Upskilling Human Decision Making in the age of AI. In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Roger’s book series The Definitive Guide to Thriving on Disruptionעל ידי Kimberly Nevala, Strategic Advisor - SAS
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Sheryl Cababa reflects on Systems Thinking in AI design. In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Sheryl’s book Closing the Loop: Systems Thinking for Designersעל ידי Kimberly Nevala, Strategic Advisor - SAS
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Henrik Skaug Sætra reflects on Environmental and Social Sustainability with AI. In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Henrik’s latest book: Technology and Sustainable Development: The Promise and Pitfalls of Techno-Solutionism…
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In this episode, John and Sven discuss risk and technology ethics. They focus, in particular, on the perennially popular and widely discussed problems of value alignment (how to get technology to align with our values) and control (making sure technology doesn't do something terrible). They start the conversation with the famous case study of Stani…
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In this episode, John and Sven discuss the methods of technology ethics. What exactly is it that technology ethicists do? How can they answer the core questions about the value of technology and our moral response to it? Should they consult their intuitions? Run experiments? Use formal theories? The possible answers to these questions are considere…
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I am very excited to announce the launch of a new podcast series with my longtime friend and collaborator Sven Nyholm. The podcast is intended to introduce key themes, concepts, arguments and ideas arising from the ethics of technology. It roughly follows the structure from the book This is Technology Ethics by Sven , but in a loose and conversatio…
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In this episode, I chat to Matthijs Maas about pausing AI development. Matthijs is currently a Senior Research Fellow at the Legal Priorities Project and a Research Affiliate at the Centre for the Study of Existential Risk at the University of Cambridge. In our conversation, we focus on the possibility of slowing down or limiting the development of…
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In this episode of the podcast I chat to Atoosa Kasirzadeh. Atoosa is an Assistant Professor/Chancellor's fellow at the University of Edinburgh. She is also the Director of Research at the Centre for Technomoral Futures at Edinburgh. We chat about the alignment problem in AI development, roughly: how do we ensure that AI acts in a way that is consi…
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[UPDATED WITH CORRECT EPISODE LINK] In this episode I chat to Miles Brundage. Miles leads the policy research team at Open AI. Unsurprisingly, we talk a lot about GPT and generative AI. Our conservation covers the risks that arise from their use, their speed of development, how they should be regulated, the harms they may cause and the opportunitie…
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Ganes Kesari confronts AI hype and calls for balance, reskilling, data literacy, decision intelligence and data storytelling to adopt AI productively. Ganes reveals the reality of AI and analytics adoption in the enterprise today. Highlighting extreme divides in understanding and expectations, Ganes provides a grounded point of view on delivering s…
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In this episode of the podcast I chat to Jess Morley. Jess is currently a DPhil candidate at the Oxford Internet Institute. Her research focuses on the use of data in healthcare, oftentimes on the impact of big data and AI, but, as she puts it herself, usually on 'less whizzy' things. Sadly, our conversation focuses on the whizzy things, in particu…
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Dr. Christina Colclough addresses tech determinism, the value of human labor, managerial fuzz, collective will, digital rights, and participatory AI deployment. Christina traces the path of digital transformation and the self-sustaining narrative of tech determinism. As well as how the perceptions of the public, the C-Suite and workers (aka wage ea…
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In this episode, I chat to Robert Long about AI sentience. Robert is a philosopher that works on issues related to the philosopy of mind, cognitive science and AI ethics. He is currently a philosophy fellow at the Centre for AI Safety in San Francisco. He completed his PhD at New York University. We do a deep dive on the concept of sentience, why i…
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Reid Blackman confronts whack-a-mole approaches to AI ethics, ethical ‘do goodery,’ squishy values, moral nuance, advocacy vs. activism and overfitting for AI. Reid distinguishes AI for ‘not bad’ from AI ‘for good’ and corporate social responsibility. He describes how the language of risk creates a bridge between ethics and business. Debunking the …
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In this episode of the podcast, I talk to Thore Husfeldt about the impact of GPT on education. Thore is a Professor of Computer Science at the IT University of Copehagen, where he specialises in pretty technical algorithm-related research. He is also affiliated with Lund University in Sweden. Beyond his technical work, Thore is interested in ideas …
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In this episode of the podcast, I chat to Anton Korinek about the economic impacts of GPT. Anton is a Professor of Economics at the University of Virginia and the Economics Lead at the Centre for AI Governance. He has researched widely on the topic of automation and labour markets. We talk about whether GPT will substitute for or complement human w…
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In this episode of the podcast, I chat to Olle Häggström. Olle is a professor of mathematical statistics at Chalmers University of Technology in Sweden. We talk about GPT and LLMs more generally. What are they? Are they intelligent? What risks do they pose or presage? Are we proceeding with the development of this technology in a reckless way? We t…
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Ilke Demir depicts the state of generative AI, deepfakes for good, the emotional shelf life of synthesized media, and methods to identify AI-generated content. Ilke provides a primer on traditional generative models and generative AI. Outlining the fast-evolving capabilities of generative AI, she also notes their current lack of controls and transp…
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