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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

By:

Programs

Allen Lab for Democracy Renovation,  Allen Lab: Technology & Democracy

Issues

Democracy and AI

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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.

More on this Issue

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.

AI & Democracy: Perspectives from an Emerging Field

Additional Resource

AI & Democracy: Perspectives from an Emerging Field

The Allen Lab is proud to have contributed to this timely landscape report from The David & Lucile Packard Foundation mapping the emerging field of AI and democracy.