Man and Machine: Questions of Risk, Trust and Accountability in Today's AI Technology
It addresses ethical and social issues in AI for researchers and policymakers, but is incremental as it builds on existing discussions without new empirical results.
The paper examines the societal concerns of risk, trust, and accountability posed by modern AI technologies like expert systems and intelligent assistants, and suggests exploring human-machine cooperation and a sociological view of intelligence as potential solutions.
Artificial Intelligence began as a field probing some of the most fundamental questions of science - the nature of intelligence and the design of intelligent artifacts. But it has grown into a discipline that is deeply entwined with commerce and society. Today's AI technology, such as expert systems and intelligent assistants, pose some difficult questions of risk, trust and accountability. In this paper, we present these concerns, examining them in the context of historical developments that have shaped the nature and direction of AI research. We also suggest the exploration and further development of two paradigms, human intelligence-machine cooperation, and a sociological view of intelligence, which might help address some of these concerns.