AI will PREDICT human opinions, should we be concerned? #AI 🤖 #shorts #artificialintelligence

During a Senate hearing, Josh Hawley questions Sam Altman, the head of OpenAI, and other experts about the potential implications of AI, particularly large language models, on elections and public opinion. The discussions revolve around how AI can predict public opinion, and potentially manipulate users, the need for transparency, and concerns about AI systems trained on personal data.

#highlights
- 📚 Senator Hawley presents a study indicating that large language models trained on specific media diets can predict public opinion. He expresses concern about using such models to influence voters and asks whether this should worry us in the context of elections.

- 💡 Sam Altman admits this is an area of great concern. He suggests that companies could voluntarily adopt policies and welcomes the idea of regulation on the matter, emphasizing the need for clear disclosure and public education about AI.

- 🚨 Professor Marcus adds to the conversation by highlighting potential manipulation risks from AI, possibly altering political beliefs and subtly influencing users. He insists on the necessity for transparency about the training data of AI systems.

- 🗂️ Sam Altman confirms the need to worry about AI systems trained on personal data, but clarifies that OpenAI does not seek to build up user profiles as they don't operate on an ad-based business model.

- 🎯 Both Professor Marcus and Ms. Montgomery agree that hyper-targeting of advertising via AI systems is likely in the future, underscoring the importance of transparency and continuous monitoring of AI models.

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