Ethical Machines

Wendell Wallach, who has been in the AI ethics game longer than just about anyone and has several books to his name on the subject, talks about his dissatisfaction with talk of “value alignment,” why traditional moral theories are not helpful for doing AI ethics, and how we can do better.Advertising Inquiries: https://redcircle.com/brands

We hear that “writing is thinking.” We believe that teaching all students to be great writers is important. All hail the essay! But my guest, philosopher Luciano Floridi, professor and Founding Director of the Digital Ethics Center, sees things differently. Plenty of great thinkers were not also great writers. We should prioritize thoughtful and rigorous dialogue over the written word. As for writing, perhaps it should be considered akin to a musical instrument; not everyone has to learn the violin…Advertising Inquiries: https://redcircle.com/brands

AI is deployed across the globe. But how sensitive is it to the cultural contexts - ethics, norms, laws and regulations - in which it finds itself. My guest today, Rocky Clancy of Virginia Tech, argues that AI is too Western-focused. We need to engage in empirical research so that AI is developed in a way that comports with the people it interacts with, wherever they are.Advertising Inquiries: https://redcircle.com/brands

When we’re playing a game or a sport, we like being measured. We want a high score, we want to beat the game. Measurement makes it fun. But in work, being measured, hitting our numbers, can make us miserable. Why does measuring ourselves sometimes enhance and sometimes undermine our happiness and sense of fulfillment? That’s the question C. Thi Nguyen tackles in his new book “The Score: How to Stop Playing Somebody Else’s Game.” Thi is one of the most interesting philosophers I know - enjoy!Advertising Inquiries: https://redcircle.com/brands

When it comes to the foundation models that are created by the likes of Google, Anthropic, and OpenAI, we need to treat them as utility providers. So argues my guest, Joanna Bryson, Professor of Ethics and Technology at the Hertie School of Business in Berlin, Germany. She further argues that the only way we can move forward safely is to create a transnational coalition of the willing that creates and enforces ethical and safety standards for AI. Why such a coalition is necessary, who might be part of it, how plausible it is that we can create such a thing, and more are covered in our conversation.Advertising Inquiries: https://redcircle.com/brands

In the last episode, Brian Wong, argued that there’s a “gap” between the harms that developing and using AI causes, on the one hand, and identifying who is responsible for those harms. At the end of that discussion, Brian claimed that we’re all responsible for those harms. But how could that be? Aren’t some people more responsible than others? And if we are responsible, what does that mean we’re supposed to do differently? In part 2 Brian explains how he thinks about what responsibility is and how it has implications for our social responsibilities.Advertising Inquiries: https://redcircle.com/brands

How can one of the most high risk industries also be the safest place to test AI? That’s what I discuss today with former Navy Commander Zac Staples, currently Founder and CEO of Fathom, an industrial cybersecurity company focused on the maritime industry. He walks me through how the military performs its due diligence on new technologies, explains that there are lots of “watchers” of new technologies as they’re tested and used, and that all of this happens against a backdrop of a culture of self-critique. We also talk about the increasing complexity of AI, which makes it harder to test, and we zoom out to larger, political issues, including China’s use of military AI. Advertising Inquiries: https://redcircle.com/brands

Are we dependent on social media in a way that erodes our autonomy? After all, platforms are designed to keep us hooked and to come back for more. And we don’t really know the law of the digital lands, since how the algorithms influence how we relate to each other online in unknown ways. Then again, don’t we bear a certain degree of personal responsibility for how we conduct ourselves, online or otherwise? What the right balance is and how we can encourage or require greater autonomy is our topic of discussion today.Advertising Inquiries: https://redcircle.com/brands

AI is leading the economic charge. In fact, without the massive investments in AI, our economy would look a lot worse right now. But what are the social and political costs that we incur? My guest, Karen Yeung, a professor at Birmingham Law School and School of Computer Science, argues that investments in AI our consolidating power while disempowering the rest of society. Our individual autonomy and our collective cohesion are simultaneously eroding. We need to push back - but how? And on what grounds? To what extent is the problem our socio-economic system or our culture or government (in)action? These questions and more in a particularly fun episode (for me, anyway).Advertising Inquiries: https://redcircle.com/brands

Much of what we find fulfilling in life isn’t the having but the doing. It’s the process of working through a problem, taking action, doing what needs to be done. But that meaning may be on the verge of being greatly diminished; so contends my guest, Sven Nyholm, Professor of Ethics of AI at lMU MUNICH. I push back in various ways: how real and/or imminent is this threat, really? And who is responsible for staving it off?Advertising Inquiries: https://redcircle.com/brands

Anthropic just got the axe from the U.S. government for refusing to allow the Department of Defense (War?) to use Claude for autonomous weapons systems and mass surveillance. For the first 15 minutes of this conversation with Michael Horowitz - professor at UPenn, Senior Fellow for Technology and Innovation at the Council on Foreign Relations, and formerly Deputy Assistant Secretary of Defense for Force Development and Emerging Capabilities and Director of the Emerging Capabilities Policy Office at the DoD - we talk explicitly about Anthropic vs. the U.S. government. Why Anthropic did it, why this is more about personality than policy, and more. In the remaining 45 minutes you’ll hear a replay of an episode Michael and I did back in October, in which Michael defends the functional and ethical importance of potentially using AI for autonomous weapons systems.Advertising Inquiries: https://redcircle.com/brands

What does it look like for a non-technologist to lead Responsible AI practices at a Fortune 500 company? Today I talk with James Desir, Senior corporate counsel at Progressive Insurance and a key leader in their RAI efforts. We discuss how he found his way into this space, how he persuades data scientists to treat him as a thought partner instead of a blocker, and how to demonstrate the ROI of RAI to fellow executives. We also talk about the increasing complexity of AI and how a small RAI team can handle the scale of the problem.Advertising Inquiries: https://redcircle.com/brands

I tend to dismiss claims about existential risks from AI, but my guest thinks I - or rather we - need to take it very seriously. His name is Olle Häggström and he’s a professor of mathematical statistics at Chalmers University of Technology in, Sweden, and a member of the Royal Swedish Academy of Sciences. He argues that if AI becomes more intelligent than us, and it will, then it will dominate us in much the way we dominate other species. But it’s not too late! We can and we must, he argues, change the trajectory of how we develop AI.Advertising Inquiries: https://redcircle.com/brands

We’ve been doing risk assessments in lots of industries for decades. For instance, in financial services and cyber security and aviation, there are lots of ways of thinking about what the risks are and how to mitigate them at both a microscopic and microscopic level. My guest today, Jason, Stanley of Service now, is probably the smartest person I’ve talked to on this topic. We discussed the three levels of AI risk and the lessons he draws from those other industries that we crucially need in the AI space.Advertising Inquiries: https://redcircle.com/brands

Many researchers in AI think we should make AI capable of ethical inquiry. We can’t teach it all the ethical rules; that’s impossible. Instead, we should teach it to ethically reason, just as we do children. But my guest thinks this strategy makes a number of controversial assumptions, including how ethics works and what actually is right and wrong. From the best of season two. Advertising Inquiries: https://redcircle.com/brands

What happens when students turn to LLMs to learn about history? My guest, Nuno Moniz, Associate Research Professor at the University of Notre Dame, argues this can ultimately lead to mass confusion, which in turn can lead to tragic conflicts. There are at least three sources of that confusion: AI hallucinations, misinformation spreading, and biased interpretations of history getting the upper hand. Exactly how bad this can get and what we’re supposed to do about it isn’t obvious, but Nuno has some suggestions.Advertising Inquiries: https://redcircle.com/brands

When thinking about AI replacing people, we usually look to the extremes: utopia and dystopia. My guest today, Finn Morehouse, a research fellow at Forethought, a nonprofit research organization, thinks that neither of these extremes are the most likely. In fact, he thinks that one reason that AI defies prediction is that it’s not a normal technology. What’s not normal about it? It’s not merely in the business of multiplying productivity, he says, but of replacing the standard bottleneck to greater productivity: humans.Advertising Inquiries: https://redcircle.com/brands

We’re all connected to how AI is developed and used across the world. And that connection, my guest Brian Wong, Assistant Professor of Philosophy at the University of Hong Kong argues, is what makes us all, to varying degrees, responsible for the harmful impacts of AI. This conversation has two parts. This is the first, where we focus on the kinds of geo-political risks and harms he concerned about, why he takes issue with “the alignment problem,” and how AI operates in a way that produces what he calls “accountability gaps and deficits” - ways in which it looks like no one is accountable for the harms and how people are not compensated by anyone after they’re harmed. There’s a lot here - buckle up!Advertising Inquiries: https://redcircle.com/brands

One company builds the LLM. Another company uses that model for their purposes. How do we know that the ethical standards of the first one match the ethical standards of the second one? How does the second company know they are using a technology that is commensurate with their own ethical standards? This is a conversation I had with David Danks, Professor OF Philosophy and data science UCSD, almost 3 years ago. But the conversation is just as pressing now as it was then. In fact, given the widespread adoption of AI that’s built by a handful of companies, it’s even more important now that we get this right.Advertising Inquiries: https://redcircle.com/brands

Deepfakes to deceive people? No good. How about a digital duplicate of a lost loved one so you can keep talking to them? What’s the impact of having a child talk to the digital duplicate of their dead father? Should you leave instructions about what can be done with your digital identify in your will? Could you lose control of your digital duplicate? These questions are ethically fascinating and crucial in themselves. They also raise other longer standing philosophical issues: can you be harmed after you die? Can your rights be violated? What if a Holocaust denier uses a digital duplicate of a survivor to say the Holocaust never happened? I used to think deepfakes were most of the conversation. Now I know better thanks to this great conversation with Atay Kozlovski, Visiting Research Fellow at Delft University of Technology.Advertising Inquiries: https://redcircle.com/brands