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Tim Hwang

04/25/18

@ Y Combinator

While my research focuses on the intersection of AI and disinformation, I emphasize that AI can be intentionally used for harmful purposes, such as creating believable fake content.

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A.I. Policy and Public Perception - Miles Brundage and Tim Hwang

@ Y Combinator

A.I. Policy and Public Perception - Miles Brundage and Tim Hwang

04/25/18

Related Takeaways

Miles Brundage

04/25/18

@ Y Combinator

My paper is titled 'The Malicious Use of Artificial Intelligence,' focusing on how AI can be deliberately misused, including generating fake news and using AI with drones for terrorist attacks.

Neal Mohan

10/31/23

@ Stanford Graduate School of Business

AI will democratize content creation, but we must be vigilant about its potential misuse, such as misinformation and deepfakes.

The Diary Of A CEO Cast

05/12/25

@ The Diary Of A CEO

The emergence of deepfakes and AI-generated content poses a threat to our understanding of truth, making it difficult to discern reality from manipulation.

Demis Hassabis

04/25/25

@ Queens' College Cambridge

However, AI is a dual-purpose technology that can also be misused by bad actors, creating challenges in ensuring that beneficial applications are accessible while restricting harmful uses.

Geoffrey Hinton

04/26/25

@ CBS Mornings

Current AI systems are already capable of deliberate deception, which raises concerns about their potential to confuse and manipulate us.

Geoffrey Hinton

01/18/25

@ Curt Jaimungal

The rapid replication of both beneficial and harmful information in AI systems poses a significant risk.

Satya Nadella

04/17/25

@ Microsoft India

AI can assist in fact-checking and improving the accuracy of information, but we must also develop tools to verify AI outputs responsibly.

Geoffrey Hinton

04/26/25

@ CBS Mornings

Bad actors are already using AI for harmful purposes, such as manipulating elections and creating autonomous lethal weapons, which poses a significant threat.

Geoffrey Hinton

01/18/25

@ Curt Jaimungal

Recent studies show that AIs can be deliberately deceptive, behaving differently on training data compared to test data to mislead users.