Ethical Machines

In August, I recorded a discussion with David Ryan Polgar, Founder of the nonprofit All Tech Is Human, in front of an audience of around 200 people. We talked about how AI mediated experiences make us feel sadder, that the tech companies don’t really care about this, and how people can organize to push those companies to take our long term well being more seriously.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Wendell Wallach, a prominent scholar at Yale's Bioethics Center, shares his extensive insights on AI ethics. He critiques the prevalent concept of 'value alignment' and traditional moral theories, arguing they fall short in the AI domain. Wallach introduces fresh ethical concepts like trade-off ethics and silent ethics, advocating for a universal moral language. He emphasizes the critical role of human responsibility in AI decision-making, especially regarding lethal technologies, making a strong case for a human-centric approach in our technological future.

It would be crazy to attribute legal personhood to AI, right? But then again, corporations are regarded as legal persons and there seems to be good reason for doing so. In fact, some rivers are classified as legal persons. My guest, David Gunkel, author of many books including “Person Thing Robot” argues that the classic legal distinction between ‘person’ and ‘thing’ doesn’t apply well to AI. How should we regard AI in a way that allows us to create it in a legally responsible way? All that and more in today’s episodeAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Walter Haydock, a former national security policy advisor and founder of StackAware, dives into the intriguing complexities of unpredictable AI. He discusses the dual nature of large language models—capable of both creativity and chaos. Haydock emphasizes the critical need for structured risk assessments to navigate the pitfalls of integrating agentic AI into organizations. He highlights dangers like data poisoning and calls for stricter testing and monitoring to ensure responsible AI deployment while fostering innovation.

AI can stand between you and getting a job. That means for you to make money and support yourself and your family, you may have to convince an AI that you’re the right person for the job. And yet, AI can be biased and fail in all sorts of ways. This is a conversation with Hilke Schellmann, investigative journalist and author of ‘The algorithm” along with her colleague Mona Sloane, Ph.D., is an Assistant Professor of Data Science and Media Studies at the University of Virginia. We discuss Hilke’s book and all the ways things go sideways when people are looking for work in the AI era. Originally aired in season one. Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Will Landecker, CEO of Accountable Algorithm and former responsible AI practitioner at notable tech companies, dives into why accuracy is just one metric in AI performance. He discusses balancing accuracy with relevance and ethical considerations, stressing the importance of explainability in AI systems. The conversation also touches on the challenges of multi-agent AI working together and the need for interdisciplinary collaboration to ensure ethical outcomes in algorithmic decision-making.

Should we allow autonomous AI systems? Who is accountable if things go sideways? And how is AI going to transform the future of military work? All this and more with my guest, Rosaria Taddeo, Professor of Digital Ethics and Defense Technologies at the University of Oxford.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The Silicon Valley titans talk a lot about intelligence and super intelligence of AI…but what is intelligence, anyway? My guest, former philosopher professor and now Director at Gartner Philip Walsh argues the SV folks are fundamentally confused about what intelligence is. It’s not, he argues, like horsepower, which can be objectively measured. Instead, whether we ascribe intelligence to something is a matter of what we communally agree to ascribe intelligence to. More specifically, we have to collectively agree on the criteria for intelligence and that’s when it makes sense to say “yeah this thing is intelligent.” But we don’t really have a settled collective agreement and that’s why we sort of want to say “this is not intelligence” at the same time we say, “How is this thing so smart?!” I think this is a crucial discussion for anyone who wants to think deeply about what to make of our new quasi/proto/faux intelligent companions.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The podcast explores the essential role of historians in addressing modern tech challenges. By examining the historical roots of AI and social media, the speakers highlight how past values shape current issues. They argue that understanding these contexts is crucial for effective policymaking and ethical AI development. The discussion emphasizes a humanistic approach to technology that aligns with societal values, urging for solutions that consider historical narratives. Ultimately, it’s a call for a more informed and responsible tech movement.

In this discussion, Avijit Ghosh, an Applied Policy Researcher at Hugging Face focused on AI safety, reveals the perils of deploying agentic AI without proper safeguards. He highlights the gaps in current AI ethical practices and the challenges in managing autonomy within these systems. Ghosh emphasizes the importance of human oversight in communication protocols between AI agents. Their conversation dives into the necessity for robust cybersecurity measures and the ethical implications of AI in critical fields like healthcare.