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Practical Challenges For Ethical AI (White Paper)

In our new White Paper we discuss four of the practical challenges in designing and building ethical AI systems Articles
Dec 3, 2019
General audience

This blog entry contains the executive summary of Gradient Institute’s new White Paper. The full paper can be found here.

This White Paper examines four key challenges that must be addressed to make progress towards developing ethical artificial intelligence (AI) systems. These challenges arise from the way existing AI systems reason and make decisions. Unlike humans, AI systems only consider the objectives, data and constraints explicitly provided by their designers and operators. They possess no intrinsic moral awareness or social context with which to understand the consequences of their actions. To build ethical AI systems, any moral considerations must be explicitly represented in the objectives, data and constraints that govern how AI systems make decisions.

Read the rest of this whitepaper here.