A biologically inspired computational model of Moral Decision Making for autonomous agents

Cervantes, José-Antonio; Rodríguez, Luis-Felipe; López, Sonia Calaza; Ramos, Félix

doi:10.1109/icci-cc.2013.6622232

Cited by 11 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Velleman argues that, because reason is accessible to everyone identically, obligations apply to all people equually [51,25]. When Kant describes the categorical imperative as the objective principle of the will, he is referring to the fact that, as opposed to a subjective principle, the categorical imperative applies to all rational agents equally [31,16]. At its core, the FUL best handles, "the temptation to make oneself an exception: selfishness, meanness, advantagetaking, and disregard for the rights of others" [34,30].…”

Section: Additional Testsmentioning

confidence: 99%

“…While this example is (hopefully) not typical of the operation of a self-driving car, every decision that such an AI agent makes, from avoiding congested freeways to carpooling, is morally tinged. Machine ethicists recognize this need and have made theoretical ([8,19,53,26]) and practical progress in automating ethics ( [6,16,30,54]). Prior work in machine ethics using deontology ( [2,4]), consequentialism ( [1,3,17]), and virtue ethics ( [13]) rarely engages with philosophical literature, and so misses philosophers' insights.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automated Kantian Ethics: A Faithful Implementation

Singh¹

2022

Preprint

View full text Add to dashboard Cite

As we grant artificial intelligence increasing power and independence in contexts like healthcare, policing, and driving, AI faces moral dilemmas but lacks the tools to solve them. Warnings from regulators, philosophers, and computer scientists about the dangers of unethical artificial intelligence have spurred interest in automated ethics-i.e., the development of machines that can perform ethical reasoning. However, prior work in automated ethics rarely engages with philosophical literature. Philosophers have spent centuries debating moral dilemmas so automated ethics will be most nuanced, consistent, and reliable when it draws on philosophical literature. In this paper, I present an implementation of automated Kantian ethics that is faithful to the Kantian philosophical tradition. I formalize Kant's categorical imperative in Dyadic Deontic Logic, implement this formalization in the Isabelle/HOL theorem prover, and develop a testing framework to evaluate how well my implementation coheres with expected properties of Kantian ethic. My system is an early step towards philosophically mature ethical AI agents and it can make nuanced judgements in complex ethical dilemmas because it is grounded in philosophical literature. Because I use an interactive theorem prover, my system's judgements are explainable.

show abstract

Section: Additional Testsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automated Kantian Ethics: A Faithful Implementation

Singh¹

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Finally, there are papers in which the hierarchy across theory types remains ambiguous. Examples of ambiguous papers are implementations where authors try to mimic the human brain [37], or focus on implementing constraints such as the Pareto principle [89], which does not strictly speaking constitute a moral theory. Note that categorizing a paper as "ambiguous" does not imply a negative assessment of the implementation.…”

Section: Ethical Classificationmentioning

confidence: 99%

Implementations in Machine Ethics

et al. 2020

View full text Add to dashboard Cite

Increasingly complex and autonomous systems require machine ethics to maximize the benefits and minimize the risks to society arising from the new technology. It is challenging to decide which type of ethical theory to employ and how to implement it effectively. This survey provides a threefold contribution. First, it introduces a trimorphic taxonomy to analyze machine ethics implementations with respect to their object (ethical theories), as well as their nontechnical and technical aspects. Second, an exhaustive selection and description of relevant works is presented. Third, applying the new taxonomy to the selected works, dominant research patterns, and lessons for the field are identified, and future directions for research are suggested.

show abstract

“…Finally, there are papers in which the hierarchy across theory types remains ambiguous. Examples of ambiguous papers are implementations where authors try to mimic the human brain [34], or focus on implementing constraints such as the Pareto principle [86], which does not strictly speaking constitute a moral theory. Note that categorizing a paper as "ambiguous" does not imply a negative assessment of the implementation.…”

Section: Ethical Classificationmentioning

confidence: 99%

Implementations in Machine Ethics: A Survey

Tolmeijer,

Kneer,

Sarasua

et al. 2020

Preprint

View full text Add to dashboard Cite

Increasingly complex and autonomous systems require machine ethics to maximize the bene ts and minimize the risks to society arising from the new technology. It is challenging to decide which type of ethical theory to employ and how to implement it e ectively. is survey provides a threefold contribution. Firstly, it introduces a taxonomy to analyze the eld of machine ethics from an ethical, implementational, and technical perspective. Secondly, an exhaustive selection and description of relevant works is presented. irdly, applying the new taxonomy to the selected works, dominant research pa erns and lessons for the eld are identi ed, and future directions for research are suggested.

show abstract

A biologically inspired computational model of Moral Decision Making for autonomous agents

Cited by 11 publications

References 18 publications

Automated Kantian Ethics: A Faithful Implementation

Automated Kantian Ethics: A Faithful Implementation

Implementations in Machine Ethics

Implementations in Machine Ethics: A Survey

Contact Info

Product

Resources

About