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What is a responsible AI?
AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer go over at a high level the Responsible AI layer and responsible AI concepts.
What are the key considerations of responsible AI?
It’s hard to have a conversation related to AI these days without discussing Trustworthy AI. But what does these terms really mean? And, how do they fit into the AI landscape? The Responsible AI layer and responsible AI concepts address “if you do AI, do it the right way”. Just because you can do it, even ethically, how can you do it the right way? We discuss what responsible AI is and why it’s important for AI systems. We also discuss the main elements that need to be addressed in this Trustworthy AI layer, and discuss what considerations and questions you need to address as you’re implementing trustworthy AI.
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