From the course: Foundations of Responsible AI
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Risk mitigation in AI
From the course: Foundations of Responsible AI
Risk mitigation in AI
- Let's discuss risk in AI systems and ways to reduce the harms caused by unfair models. There's a level of risk associated with each AI system and its deployment, but it's rare we discuss ways to mitigate both the fairness risks and legal risks associated with AI systems. Risk is highly connected to power, and as organizations with great power wield even more data we must acknowledge that our tendency to risk user privacy and safety is far too high. Knowing the consequences of bad automated decisions is serious. And there are organizational consequences as well. According to a study by DataRobot, one in three companies have suffered financial, reputational, or engineering risks when AI systems make biased decisions. Confronting risk in AI requires us to also confront our relationships with institutional powers. Here's a quote that sums this up really well. "We should be thinking about the relationship we have with…
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