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Balancing Trustworthiness and Efficiency in AI Systems: A Comprehensive Analysis of Trade-offs and Strategies
  • Yifei Wang
Yifei Wang
University of California

Corresponding Author:[email protected]

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Abstract

As artificial intelligence (AI) systems become more prevalent in various domains, ensuring their trustworthiness and efficiency becomes increasingly important. In this article, we present an analysis of the tradeoffs between different dimensions of trustworthy AI, including transparency, robustness, fairness, accountability, and efficiency. We further discuss the challenges and opportunities that arise when striving for a balance between these dimensions. We also offer recommendations for achieving an optimal balance. By understanding and addressing these tradeoffs, we can foster AI systems that perform efficiently but also maintain user trust and societal values.