We Can't Stop Harmful AI So We Must Find Ways To Counteract It

As the risks of deep learning's continued evolution have received greater attention, a growing refrain has focused on how best to prevent AI from being used for harm. From killer robots to prevalent facial recognition, societies are increasingly talking about the need for new legislation and corporate responsibility pledges to halt the spread of harmful AI. Unfortunately, the reality is that deep learning's ease of use and decentralized development across the world means it is simply impossible to constrain how it is used. Instead, societies must focus on how to counteract its most harmful applications. The public, press, pundits and policymakers speak of laws and pledges to halt the harmful use of AI.