Balancing Trustworthiness and Efficiency in Artificial Intelligence Systems: An Analysis of Tradeoffs and Strategies
Yifei Wang · IEEE Internet Computing · 2023
As artificial intelligence (AI) systems become more prevalent in various domains, ensuring their trustworthiness and efficiency becomes increasingly important. This article presents an analysis of the tradeoffs between different dimensions of trustworthy AI, including transparency, robustness, fairness, accountability, efficiency, privacy, and human interaction. The challenges and opportunities that arise when striving for a balance among these dimensions are also discussed. Recommendations for achieving an optimal balance are also offered. By understanding and addressing these tradeoffs, we can foster AI systems that perform efficiently but also maintain user trust and societal values.