A Lesson From AI: Ethics Is Not an Imitation Game

Is ethics a computable function? Can machines learn ethics like humans do? If teaching consists in no more than programming, training, indoctrinating… and if ethics is merely following a code of conduct, then yes, we can teach ethics to algorithmic machines. But if ethics is not merely about following a code of conduct or about imitating the behavior of others, then an approach based on computing outcomes, and on the reduction of ethics to the compilation and application of a set of rules, either a priori or learned, misses the point. Our intention is not to solve the technical problem of machine ethics, but to learn something about human ethics, and its rationality, by reflecting on the ethics that can and should be implemented in machines. Any machine ethics implementation will have to face a number of fundamental or conceptual problems, which in the end refer to philosophical questions, such as: what is a human being (or more generally, what is a worthy being); what is human intentional acting; and how are intentional actions and their consequences morally evaluated. We are convinced that a proper understanding of ethical issues in AI can teach us something valuable about ourselves, and what it means to lead a free and responsible ethical life, that is, being good people beyond merely “following a moral code”. In the end we believe that rationality must be seen to involve more than just computing, and that value rationality is beyond numbers. Such an understanding is a required step to recovering a renewed rationality of ethics, one that is urgently needed in our highly technified society.

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“…Ethics is not an imitation game (Génova et al, 2022). Ethics is not about following a code of conduct like Asimov's Three Laws.…”

Section: Discussion: Ethics Majorities and Critical Thinkingmentioning

confidence: 99%

“…This section is a brief synthesis of the explanations given in(Génova et al, 2022). We think this synthesis is necessary to maintain the integrity of our argument and to develop it further.8 The Moral Machine (https:// www.…”

mentioning

confidence: 99%

Machine Ethics: Do Androids Dream of Being Good People?

2023

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“…However, part of the problem is resistance from students themselves: many do not readily accept that is important for them to study and understand these issues and recognize their responsibilities. This actually suggests that critical thinking and civic education need to start earlier in the education process and be a formative part of that process ( 56 ).…”

Section: Implications and Actionable Recommendationsmentioning

confidence: 99%

The Disruption of Trust in the Digital Transformation Leading to Health 4.0

Guckert¹,

Milanović²,

Hannig³

et al. 2022

Front. Digit. Health

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The specification and application of policies and guidelines for public health, medical education and training, and screening programmes for preventative medicine are all predicated on trust relationships between medical authorities, health practitioners and patients. These relationships are in turn predicated on a verbal contract that is over two thousand years old. The impact of information and communication technology (ICT), underpinning Health 4.0, has the potential to disrupt this analog relationship in several dimensions; but it also presents an opportunity to strengthen it, and so to increase the take-up and effectiveness of new policies. This paper develops an analytic framework for the trust relationships in Health 4.0, and through three use cases, assesses a medical policy, the introduction of a new technology, and the implications of that technology for the trust relationships. We integrate this assessment in a set of actionable recommendations, in particular that the trust framework should be part of the design methodology for developing and deploying medical applications. In a concluding discussion, we advocate that, in a post-pandemic world, IT to support policies and programmes to address widespread socio-medical problems with mental health, long Covid, physical inactivity and vaccine misinformation will be essential, and for that, strong trust relationships between all the stakeholders are absolutely critical.

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A-BERF: Action-Weighted Ensemble by Bootstrapping Extremely Randomized Forest for Pre-Crash Moral Decision-Making in Autonomous Driving

Yang,

Chung

2023

2023 23rd International Conference on Control, Automation and Systems (ICCAS)

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A Lesson From AI: Ethics Is Not an Imitation Game

Cited by 4 publications

References 19 publications

Machine Ethics: Do Androids Dream of Being Good People?

Machine Ethics: Do Androids Dream of Being Good People?

The Disruption of Trust in the Digital Transformation Leading to Health 4.0

A-BERF: Action-Weighted Ensemble by Bootstrapping Extremely Randomized Forest for Pre-Crash Moral Decision-Making in Autonomous Driving

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