AI Is Using Your Likes to Get Inside Your Head
Summary
The article explores how AI technologies leverage the data generated from user ‘likes’ on social media to understand and predict human behaviour. It discusses the growing concern surrounding AI’s ability to shape preferences and the ethical implications of using this data without users’ explicit consent. Authors Martin Reeves and Bob Goodson highlight the potential for AI systems to learn more about individuals than even the users themselves.
Key Points
- Likes on social media are valuable data for training AI to mimic human preferences.
- AI systems are evolving to not only analyse but also predict user preferences, potentially making the like button obsolete.
- The sheer volume of ‘like’ data held by platforms like Facebook is seen as a significant advantage for AI development.
- AI-driven content generation raises questions about authenticity and the role of human creators in social media.
- Concerns are growing regarding AI capabilities in impersonating individuals, resulting in potential fraud and misinformation.
Why should I read this?
If you ever wondered how your online interactions shape the very platforms you use, this article pulls back the curtain on just that! It’s a real eye-opener about how AI is not just influencing what we see but also predicting what we might like next. Quite relevant for anyone navigating the social media landscape today, don’t miss out on these insights!