We know, we have watched this argument unfold in the United States over the last 100 years. It sure does seem like a few people are using guns to kill a lot of people.
The point of regulating AI should be to explicitly require every single use of AI and machine learning to be clearly labelled so that when people seek remedy for the injustices that are already being perpetrated, that it is clearly understood that the people who chose to use not just ML or AI technology, but those specific models and training criteria can be held accountable if they should be.
Regulation doesn't have to be a ban, or limits on how it can be used, it can simply be a requirement for clearly marked disclosure. It could also include clear regulations for lawful access to the underlying math, training data, and intended use cases, and with financially significant penalties for non-compliance to discourage companies from treating it as a cost of doing business.
Three easy to find examples. There is no shortage of discussion of these issues, and they are not new. Bias in new technologies has been a long-standing issue, and garbage in, garbage out has been a well understood problem for generations.
LLMs are pretty cool, and will enable a whole new set of tools. AI presents alot of opportunities, but the risks are significant, and I am not overly worried about a skynet or gray goo scenario. Before we worry about those, we need to worry about the bias being built into automated systems that will decide who gets bail, who gets social benefits, which communities get resources allocated, how our family, friends, and communities are targeted by businesses, etc.
We know, we have watched this argument unfold in the United States over the last 100 years. It sure does seem like a few people are using guns to kill a lot of people.
The point of regulating AI should be to explicitly require every single use of AI and machine learning to be clearly labelled so that when people seek remedy for the injustices that are already being perpetrated, that it is clearly understood that the people who chose to use not just ML or AI technology, but those specific models and training criteria can be held accountable if they should be.
Regulation doesn't have to be a ban, or limits on how it can be used, it can simply be a requirement for clearly marked disclosure. It could also include clear regulations for lawful access to the underlying math, training data, and intended use cases, and with financially significant penalties for non-compliance to discourage companies from treating it as a cost of doing business.