Challenges in AI-Assisted Decision-Making: Insights from the Medical and the Legal domains

Abstract

This white paper explores the escalating use of Automated Decision-Making Systems (ADMS) in professional settings, emphasizing the challenges in law and medicine. The critical nature of decisions in these domains, directly impacting human lives, necessitates quick and accurate choices. The paper identifies key dangers and limitations of ADMS, highlighting the inherent human need for interaction, especially in complex situations. Despite these concerns, the paper showcases instances where ADMS prove valuable, particularly in contexts where human expertise is scarce, such as intensive care units or legal scenarios. While proposing initiatives for improved AI, the paper acknowledges the absence of universal solutions, advocating for thorough scrutiny and discussion before deploying ADMS, given the uniqueness of each application. The importance of open dialogues, both technical and general, is emphasized. The authors stress the societal impact of automated systems, urging discussions on issues like the degree of automation in medicine and automatic decisions in the legal domain at a broader societal level. The conclusion underlines the significance of public engagement in these discussions, highlighting the need for a nuanced and open debate on the societal implications of technology and science, extending beyond institutional actors. Ultimately, the paper argues for a more comprehensive and informed discourse surrounding the deployment of ADMS and AI in general, considering the profound impact on society and emphasizing the importance of responsible technological development.

Ähnliche Arbeiten