Companies develop AI to gain an advantage over their competition, but this results in flawed products entering the market
This article by David Weitzner, York University, Canada originally appeared on the Conversation and is published here with permission.
Some believe these stories are proof that our concept of liability needs to change. To them, unimpeded continuous innovation and widespread adoption of AI is what our society needs most, which means protecting innovative corporations from lawsuits. But what if, in fact, it’s our understanding of competition that needs to evolve instead?
Corporations want us to forget that AI innovations reflect the biases of the programmer. There is a false belief that as long as the product design pitch passes through internal legal and policy constraints, the resulting technology is unlikely to be harmful. But harms emerge in all sorts of unexpected ways, as Uber’s design team learned when their vehicle encountered a jaywalker for the first time.
Research has called for taking an approach that considers insurance and indemnity to shift liability and allow stakeholders to negotiate directly with each other. They also propose moving disputes over algorithms to specialized tribunals. But we need bolder thinking to address these challenges.
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