<p>In this article, I examine how artificial intelligence can support decision-making and thus promote moral autonomy and meaningful work in innovation environments. In particular, I focus on R&amp;D teams developing new technologies and address the challenge of integrating the value commitments of different members without compromising each innovator’s ability to pursue their own moral agendas. Drawing on a contractualist approach, I propose a heuristic process for resolving conflicting value commitments by identifying converging lines of technological development, while presenting our contribution to other theories on this subject. I then explore the prospects of an AI system supporting this process, describing an Artificial Moral Advisor that helps working teams to map feasible solutions to moral dilemmas based on value commitments expressed by the various members. I consider the stakes of this tool for developers’ autonomy, arguing that engaging in conversation with it need not undermine meaningfulness if users retain control over their moral input and final judgment.</p>

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Contractualism and meaningful work: AI-supported decision-making in technological innovation

  • Marco Innocenti

摘要

In this article, I examine how artificial intelligence can support decision-making and thus promote moral autonomy and meaningful work in innovation environments. In particular, I focus on R&D teams developing new technologies and address the challenge of integrating the value commitments of different members without compromising each innovator’s ability to pursue their own moral agendas. Drawing on a contractualist approach, I propose a heuristic process for resolving conflicting value commitments by identifying converging lines of technological development, while presenting our contribution to other theories on this subject. I then explore the prospects of an AI system supporting this process, describing an Artificial Moral Advisor that helps working teams to map feasible solutions to moral dilemmas based on value commitments expressed by the various members. I consider the stakes of this tool for developers’ autonomy, arguing that engaging in conversation with it need not undermine meaningfulness if users retain control over their moral input and final judgment.