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Friday, May 24, 2024

A way forward for responsibility in the age of AI

Dane Leigh Gogoshin (2024)
DOI: 10.1080/0020174X.2024.2312455


Whatever one makes of the relationship between free will and moral responsibility – e.g. whether it’s the case that we can have the latter without the former and, if so, what conditions must be met; whatever one thinks about whether artificially intelligent agents might ever meet such conditions, one still faces the following questions. What is the value of moral responsibility? If we take moral responsibility to be a matter of being a fitting target of moral blame or praise, what are the goods attached to them? The debate concerning ‘machine morality’ is often hinged on whether artificial agents are or could ever be morally responsible, and it is generally taken for granted (following Matthias 2004) that if they cannot, they pose a threat to the moral responsibility system and associated goods. In this paper, I challenge this assumption by asking what the goods of this system, if any, are, and what happens to them in the face of artificially intelligent agents. I will argue that they neither introduce new problems for the moral responsibility system nor do they threaten what we really (ought to) care about. I conclude the paper with a proposal for how to secure this objective.

My summary:

The article discusses the challenges and opportunities presented by artificial intelligence (AI) in terms of responsible adoption and ethical considerations. It emphasizes the need for leaders to develop analytical skills to assess the benefits and risks of AI accurately. The piece underscores the importance of ethical guidelines to ensure that AI implementations respect privacy, fairness, and prevent harm. Furthermore, it highlights the significance of visionary thinking, strategic planning, and ethical deployment of AI by leaders. The article also touches on the transformative impact of AI on work dynamics, emphasizing the value of human imagination, strategic planning, and ethical leadership in an AI-dominated future.