Azeem Azhar: Exponential Challenges of Exponential Technologies
Release Date: 04/18/2024
Jean-Enno Chaton: Operationalizing AI Ethics
The Road to Accountable AI
Join Professor Kevin Werbach and Jean-Enno Charton, Director of Digital Ethics and Bioethics at Merck KGAA, as they explore the ethical challenges of AI in healthcare and life sciences. Charton delves into the evolution of Merck's AI ethics program, which stemmed from their bioethics advisory panel addressing complex ethical dilemmas in areas like fertility research and clinical trials. He details the formation of a dedicated digital ethics panel, incorporating industry experts and academics, and developing the Principle at Risk Analysis (PARA) tool to identify and mitigate ethical risks in AI...
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Dominique Shelton Leipzig: Building Trust When Every Company is an AI Company
The Road to Accountable AI
Join Professor Kevin Werbach and Dominique Shelton Leipzig, an expert in data privacy and technology law, as they share practical insights on AI's transformative potential and regulatory challenges in this episode on The Road to Accountable AI. They dissect the ripple effects of recent legislation, and why setting industry standards and codifying trust in AI are more than mere legal checkboxes—they're the bedrock of innovation and integrity in business. Transitioning from theory to practice, this episode uncovers what it truly means to govern AI systems that are accurate, safe, and...
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Dragos Tudorache: Next Steps for the World's First Comprehensive AI Law
The Road to Accountable AI
Join Professor Werbach and Dragos Tudorache, co-rapporteur of the EU AI Act and one of the most essential AI policymakers in the world, to discuss the world's urgent need for AI regulation and collaboration. They discuss the nuances of the Act's attempt to balance mitigating risk and fostering innovation and dissect the legislation's approach to ensuring trust in AI through technology-neutral language and adaptable mechanisms. Next, they examine the Act's strategic focus on high-risk AI applications, filling gaps not covered by existing EU tech regulations like GDPR and the Digital Services...
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Richard Benjamins: A Multi-Year Journey Toward Responsible Enterprise AI
The Road to Accountable AI
In this episode, Professor Kevin Werbach and Dr. Richard Benjamins, former Chief Responsible AI Officer at Telefónica, discuss Telefónica's journey towards responsible AI, corporate strategies to address these challenges, and Benjamins' views on generative AI and the European AI Act. They explore the role of the Responsible AI Champion in embedding ethical practices across business functions and discuss the dynamics of AI ethics committees, which vary from permission-based to problem-based frameworks. Their conversation highlights the scarcity of AI ethics expertise and the diverse...
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Elham Tabassi: Framing and Taming AI Risks
The Road to Accountable AI
Join Professor Kevin Werbach and Elham Tabassi, Associate Director for Emerging Technologies at NIST, as they explore the nuances of the NIST AI Risk Management Framework (RMF). Their discussion illuminates the science of measurement, the challenges of operationalizing legal and governance requirements for AI, and the pursuit of standards for trustworthy AI. During the conversation, they delve into the diverse challenges businesses face when adopting the AI RMF and how the Trustworthy AI Resource Center serves as a critical tool to keeping entities at the forefront of technology. They examine...
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Reid Blackman: Aligning AI with Ethics in the Real World
The Road to Accountable AI
Join Professor Werbach and Reid Blackman, the founder of Virtue and author of ‘Ethical Machines,’ to unravel the fabric of ethical responsibilities in AI development. They navigate the transition from 'AI ethics' to 'responsible AI,' debunking the myth that ethics is just a matter of opinion and showcasing how it can be both objective and actionable. The conversation addresses the ethical pitfalls of AI, such as biases and privacy concerns, emphasizing that these issues often arise from the technology itself. They explore strategies for promoting ethical AI within organizations, including...
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Azeem Azhar: Exponential Challenges of Exponential Technologies
The Road to Accountable AI
Professor Werbach is joined by Azeem Azhar, a leading expert in exponential technologies, for a riveting conversation on the trajectory of AI, regulation, and the larger challenges of concentration in the tech sector. They traverse Azeem’s professional journey, highlighting the pivotal moments in AI development, such as the rise of deep learning, and discuss the implications for business leaders now at the helm of these potent tools. Drawing parallels with historical tech calamities, they examine the safety challenges inherent in large language models and how companies like Google and OpenAI...
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Kevin Werbach: Why You Should Care About AI Accountability
The Road to Accountable AI
Welcome to the Road to Accountable AI. Explore the crucial intersection of technology, law, and business ethics with Wharton professor Kevin Werbach, as he and his guests examine efforts to implement responsible, safe and trustworthy artificial intelligence. In this initial episode, Professor Werbach describes the concept he calls Accountable AI. He talks about his background in emerging technology over the past three decades, starting with his experience leading internet policy at the U.S. Federal Communications Commission during the early years of the commercial internet. He explains why AI...
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The Road to Accountable AI - Series Trailer
The Road to Accountable AI
info_outlineProfessor Werbach is joined by Azeem Azhar, a leading expert in exponential technologies, for a riveting conversation on the trajectory of AI, regulation, and the larger challenges of concentration in the tech sector. They traverse Azeem’s professional journey, highlighting the pivotal moments in AI development, such as the rise of deep learning, and discuss the implications for business leaders now at the helm of these potent tools. Drawing parallels with historical tech calamities, they examine the safety challenges inherent in large language models and how companies like Google and OpenAI juggle the race for innovation with the necessity for thorough testing. The conversation then delves into the murky waters of regulation and the tug-of-war between progress and control, with a spotlight on the EU's Digital Markets Act and its impact on global tech firms.
Azeem Azhar is the author of the bestseller "Exponential: How Accelerating Technology is Leaving Us Behind and What to Do About It", which quickly became an Amazon bestseller in Geopolitics upon its release. As the founder of the data analytics firm PeerIndex, later acquired by Brandwatch, Azeem has a proven track record as an angel investor, with investments in over 30 startups, including early-stage companies in AI, renewable energy, and female healthtech. Some of his most notable interviews include discussions with OpenAI CEO Sam Altman, co-founder and CEO of Anthropic Dario Amodei, and legendary Silicon Valley investor Vinod Khosla. These conversations cover a wide range of topics, including the implications of AI on ownership of thoughts, the potential impact of AI on global inequality, and the need to change assumptions about conflict to avoid a second Cold War. His ability to break down complex technological concepts and their societal implications has earned him recognition as a global futurist and exponential thinker, making his contributions invaluable for understanding the rapidly evolving technological landscape.
Exponential View, Azeem’s Substack and community
Azeem’s book The Exponential Age