![The Two Faces of AI Alignment. Misaligned Models and Misaligned Agent...](https://miro.medium.com/v2/resize:fit:1200/1*Kznj9g-9FKQN5r7TuD1zpQ.jpeg)
Artificial Intelligence (AI) is no longer just a buzzword; it is a rapidly evolving field where intelligent systems are becoming increasingly integrated into our daily lives. From recommendation algorithms on Netflix to automating creative workflows with ChatGPT or Midjourney, AI is transforming various aspects of our world. However, this remarkable progress also presents significant challenges, with AI alignment being one of the most critical issues to address.
AI alignment is the process of ensuring that AI systems operate in a way that aligns with what humans consider desirable behavior. It’s like trying to teach a toddler to behave appropriately — just as you’d want the child to understand and respect your values, we need to hold AI systems to the same standard. However, as it turns out, we’re not always as good at this task as we think — neither for toddlers, nor for AIs.
Generative AI models like…
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https://towardsdatascience.com/the-two-faces-of-ai-alignment-e58b0c11cc01?source=rss—-7f60cf5620c9—4
https://towardsdatascience.com/the-two-faces-of-ai-alignment-e58b0c11cc01?source=rss—-7f60cf5620c9—4
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