Video  

The Dark Side of AI: Crime and Adversarial Use Cases

“The Dark Side of AI: Crime and Adversarial Use Cases” webinar session featured the following speakers and topics:

  • Bruce Schneier (Harvard): Hackers and Security Vulnerabilities
  • Matt Groh (Northwestern): Deepfakes and Misinformation, see related paper The Art and Science of Generative AI
  • Shlomit Wagman (Harvard): Financial Crime
  • Jennifer Calvery (HSBC): Financial Crime

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Voter Experience Summit Recap

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VIDEOS: After Neoliberalism From Left to Right

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VIDEOS: After Neoliberalism From Left to Right

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Crocodile tears: Can the ethical-moral intelligence of AI models be trusted?

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Crocodile tears: Can the ethical-moral intelligence of AI models be trusted?

Allen Lab authors Sarah Hubbard, David Kidd, and Andrei Stupu introduce an ethical-moral intelligence framework for evaluating AI models across dimensions of moral expertise, sensitivity, coherence, and transparency in their recently published paper, Crocodile Tears: Can the Ethical-Moral Intelligence of AI Models Be Trusted? in Springer AI & Ethics.

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AI for Democracy Movements: Toward a New Agenda
A cover photo of the report.

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AI for Democracy Movements: Toward a New Agenda

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VIDEOS: After Neoliberalism From Left to Right

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After Neoliberalism: From Left to Right brought together hundreds of leading economists, political scientists, journalists, writers and thinkers from across the political spectrum to explore and debate emerging visions for the future of the political economy.

Panel videos below.

Crocodile tears: Can the ethical-moral intelligence of AI models be trusted?

Open Access Resource

Crocodile tears: Can the ethical-moral intelligence of AI models be trusted?

Allen Lab authors Sarah Hubbard, David Kidd, and Andrei Stupu introduce an ethical-moral intelligence framework for evaluating AI models across dimensions of moral expertise, sensitivity, coherence, and transparency in their recently published paper, Crocodile Tears: Can the Ethical-Moral Intelligence of AI Models Be Trusted? in Springer AI & Ethics.