Ethical Machines

Reid Blackman

I have to roll my eyes at the constant click bait headlines on technology and ethics.   If we want to get anything done, we need to go deeper.  That’s where I come in. I’m Reid Blackman, a former philosophy professor turned AI ethics advisor to government and business.  If you’re looking for a podcast that has no tolerance for the superficial, try out Ethical Machines.

  1. 7月2日

    Season Finale: AI Paradoxes

    Here are three paradoxes, according to Virginia Dignum, my guest today: 1. The more capable AI becomes, the more it reveals the richness and complexity of human intelligence. 2. Less bias in AI does not necessarily create more justice. 3. The pursuit of artificial superintelligence may ultimately reveal that humanity's greatest intelligence is collective, not artificial. We discuss the limits of computation, the dangers of confusing data with reality, why AI ethics often misses deeper social problems, and what it would mean to build technology that genuinely serves human flourishing rather than replacing it. Our conversation is grounded in the book “The AI Paradox”, authored by Virginia, who is a professor in Responsible Artificial Intelligence and the Director of the AI Policy Lab at Umeå University in Sweden. Advertising Inquiries: https://redcircle.com/brands

    Season Finale: AI Paradoxes

  2. 6月25日

    LLMs are the Wrong Kind of AI

    Jonathan Schaeffer thinks we're building AI the wrong way. While large language models have produced remarkable results, he argues that hallucinations, bias, and unreliability aren't bugs that can be fixed—they're consequences of the underlying architecture itself. In his view, LLMs are an important stepping stone, but not the path to the kind of AI we can truly trust. We discuss whether current AI systems are "good enough," automation bias, AI regulation, data centers, environmental costs, and the race toward AGI. We also debate whether society should slow down long enough to put meaningful guardrails in place before deploying increasingly powerful AI systems at scale. Jonathan Schaeffer is a Professor of Computing Science at the University of Alberta and a pioneer in artificial intelligence research. Advertising Inquiries: https://redcircle.com/brands

    LLMs are the Wrong Kind of AI

  3. 6月18日

    AI is Social Infrastructure

    My guest, Mona Sloane, author of Predicted: How AI Is Restructuring Social Life, argues that AI has become part of our social infrastructure. Its predictive systems increasingly shape how we work, find information, build relationships, and navigate society. Mona worries that as prediction becomes embedded in more areas of life, we risk becoming less willing to deliberate, challenge assumptions, and shape our own futures. I push back on whether AI really should be understood as infrastructure and whether predictions made by AI are fundamentally different from the predictions humans have always made. We also discuss democracy, power, regulation, and what happens when prediction becomes the dominant way of understanding the world. Book: https://a.co/d/04GwwuFR Advertising Inquiries: https://redcircle.com/brands

    AI is Social Infrastructure

  4. 6月11日

    How AI Threatens Scientific Inquiry

    Science depends on more than just results. It depends on researchers asking questions, testing hypotheses, challenging assumptions, and scrutinizing evidence. My guest, Emily Sullivan, Senior Lecturer in Philosophy of Science and AI at the University of Edinburgh, argues that AI is beginning to influence every stage of the scientific process—from deciding which questions get asked to how papers are written, reviewed, and published. We discuss algorithmic monocultures, scientific de-skilling, AI-generated research, and whether the pressure to accelerate discovery risks undermining the very process that makes science reliable in the first place. I'm sympathetic to the promise of AI in science. Emily is concerned that, if we're not careful, we may end up optimizing for scientific output at the expense of scientific inquiry itself. Advertising Inquiries: https://redcircle.com/brands

    How AI Threatens Scientific Inquiry

  5. 6月4日

    Who is Responsible for AI Agents?

    My guest, Fabio Tollon, a postdoctoral researcher on the BRAID programme at the University of Edinburgh, argues that answering that question is more difficult than it first appears. Traditional theories of moral responsibility suggest that people should only be blamed for actions they understand and control. But AI systems seem to challenge both requirements. We discuss responsibility gaps, the problem of many hands, whether AI developers are more like parents or engineers, and Fabio's distinction between moral responsibility and moral answerability. Along the way, we explore whether answerability can help us make sense of AI harms when blame is difficult to assign. Advertising Inquiries: https://redcircle.com/brands

    Who is Responsible for AI Agents?

  6. 5月28日

    Creating AIs with a Normative Capacity

    Aligning an AI traditionally looks like a matter of giving it rules to obey. But my guest, Gillian Hadfield, Professor of AI Alignment and Governance at Johns Hopkins University, thinks that’s the wrong approach. She argues that we need to think about what it means to have a normative capacity - an ability to categorize behavior as (un)acceptable in a given context by observing that context - and then think about what it would mean to give that capacity to an AI. Lots to dig into here, including especially our disagreement about whether she’s focused on an ethical normative capacity vs. a prudential normative capacity. Advertising Inquiries: https://redcircle.com/brands

    Creating AIs with a Normative Capacity

  7. 5月21日

    Existentialist Risk

    Technologist’s are racing to create AGI, artificial general intelligence. They also say we must align the AGI’s moral values with our own. But Professors Ariela Tubert and Justin Tiehen argue that’s impossible. Once you create an AGI, they say, you also give them the intellectual capacity needed for freedom, including the freedom to reject your given values. Originally aired in season 2. Advertising Inquiries: https://redcircle.com/brands

    Existentialist Risk

  8. 5月14日

    AI Governance is Lagging

    The Thomson Reuters Foundation recently conducted a global survey and found that most companies are lagging in their attempts to govern AI. For me the most surprising stat is that 85% of companies don’t have any training on AI risks for their employees. I think that’s just insane. Today my guests are Antonio Zappulla, CEO of the Thomson Reuters Foundation, and Katie Fowler, Director of Responsible Business. We talk about how they conducted their research, their results, and what incentives there are for businesses to do better. To get in touch with Thomson Reuters Foundation to participate in their next survey, please go to: https://www.trust.org/newsletter/ Advertising Inquiries: https://redcircle.com/brands

    AI Governance is Lagging
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予告編

番組について

I have to roll my eyes at the constant click bait headlines on technology and ethics.   If we want to get anything done, we need to go deeper.  That’s where I come in. I’m Reid Blackman, a former philosophy professor turned AI ethics advisor to government and business.  If you’re looking for a podcast that has no tolerance for the superficial, try out Ethical Machines.

情報

  • クリエイター
    Reid Blackman
  • 配信期間
    24年 - 26年
  • エピソード
    97
  • 制限指定
    不適切な内容を含む
  • Copyright
    © All rights reserved.
  • 番組のWebサイト
    Ethical Machines

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