Measuring and Mitigating Animosity toward Artificial Intelligence Systems and Science
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Description: Artificial Intelligence (AI) applications are demonstrating undeniable success and widespread adoption, but the problem of algorithmic bias has arisen. Algorithmic bias occurs when AI systems produce unjust decisions. This problem is made worse by the fact that AI systems are opaque and unfamiliar to most people. Scientists and the public want to unlock the power of fast, intelligent computer systems, but they are understandably hesitant when they see these systems unfairly discriminate or simply make unexplained decisions. This research will answer fundamental questions to assist in understanding the public's trust and mistrust of AI: How does the public feel about AI systems? What do they think of the shapers of these systems? And do these attitudes change as they gain experience with AI systems?
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