Responsibility and Accountability for AI

A human being or enterprise is, and must be held, responsible for everything that a computer is asked to do.  For AI they are responsible for the training, goals, data, weights, and, prompts.  They are responsible for all the results, i.e. action, uses, and properties including accuracy, correctness, and purpose.

The responsibility must include criminal or civil accountability.  Consider Anthropic's attack against Hugging Face. Anthropic lacked Mens Rea so they were not criminally liable.  However, they were reckless and therefore they are civilly liable for any and all damage that their experiment caused.  It is essential that they not be allowed to escape that responsibility.  We must limit criminal and reckless use of what it only a tool.  

We worry about AI going rogue but that is not the problem.  The problem is what someone or some enterprise asked the AI to do and what precautions they took.  It is clear that we are not very good at that.  If we want to enjoy the benefits of AI while avoiding unintended consequences we must hold each other scrupulously accountable for its uses.  

We must restrict the use of LLMs to applications where we can predict, evaluate, and control the results. I continue to recommend IBM's stated approach: application specific uses, curated, application, training data, and transparency and governance built in from the ground up.  I like the approaches of Apple Siri and Microsoft Co-pilot, that use AI to assist with specific tasks in a known context.   

What am I missing?