Man and Machine: Questions of Risk, Trust and Accountability in Today's AI Technology

TL;DR

This paper discusses the societal and ethical challenges posed by modern AI technologies, emphasizing issues of risk, trust, and accountability, and explores paradigms like human-machine cooperation to address these concerns.

Contribution

It introduces a sociological perspective and advocates for human-machine cooperation paradigms to better manage AI-related risks and ethical issues.

Findings

AI raises significant trust and accountability concerns.

Historical analysis informs current AI risk management.

Proposes human-machine cooperation as a potential solution.

Abstract

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.