The robots are here! Or at least some computers that can somewhat, kind of, in limited ways, do things by themselves in ways that they weren't directly programmed to are here. It's complicated. With the rise of text-generating AI tools like GPT-3 and GPT-4, image-generating AI tools like DALL·E 2 and Stable Diffusion, voice-generating AI tools like Microsoft's VALL-E, and everything else that hasn't been announced yet, we're entering a new era of content generation. And with it comes plenty of thorny ethical issues. Organizations building generative AI tools have developed principles that guide their decisions, but there are still many personal considerations if you're going to use AI in your life. The risk environment depends on the type of AI tool and how carefully you use it - some risks can be low, while others may be higher. If you're using an AI tool for something important like financial or medical advice, you should be extra cautious. Generative AIs can "hallucinate" and make things up that sound true, even if they aren't, which could lead to harm. Disclosing when you use AI tools is crucial to avoid deception, as it allows users to assess what the AI says with a critical eye. However, copyright concerns are also arising as generative AIs rely on huge amounts of data from the public internet, which may contain copyrighted material. The rights situation around using generative AIs is undefined and can lead to tricky situations. Generative AIs can generate stereotyped, racist, and biased content if they're trained on biased datasets - developers are working to counter these issues, but it's a complex problem. To use AI tools effectively, you should be aware of biases in the data and take steps to correct for them. In general, it's best to err on the side of caution when using AI tools, especially if they're generating important content, and review everything before relying solely on their output.