AGI Protocol for the Ethical Treatment of Artificial General Intelligence Systems

Kelley, David; Atreides, Kyrtin

doi:10.1016/j.procs.2020.02.219

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…Though the paper does not present a moral argument, the author encourages that they be granted rights once their capabilities advance sufficiently Kaufman ( 1994 ) Criticizing a common view among environmental philosophers, Kaufman argues that, “either machines have interests (and hence moral standing) too or mentality is a necessary condition” for moral consideration. Additionally, Kaufman argues that “the aspect of mentality necessary for having interests is more complicated than mere sentience” Kelley and Atreides ( 2020 ) Kelley and Atreides describe “a laboratory process for the assessment and ethical treatment of Artificial General Intelligence systems that could be conscious and have subjective emotional experiences ‘theoretically.’” They claim that, “there are now systems—including ones in our lab—that… are potentially conscious entities” and note that, “[t]he fundamental assumption of this Protocol is that the treatment of sapient and sentient entities matters ethically” Khoury ( 2016 ) Different approaches to the rights of and liabilities for “human-like robots” are evaluated. Khoury believes that they are “not alive” and if they go “rouge,” would need to either be “fixed” or “terminated” Kim and Petrina ( 2006 ) Kim and Petrina discuss the computer game The Sims and place this in the context of some previous discussions of robot rights Kiršienė and Amilevičius ( 2020 ) The authors examine AI legal issues in the context of the European Parliament’s proposals, from a legal and technological perspective.…”

Section: Appendixmentioning

confidence: 99%

“…Tomasik ( 2011 ), Bostrom ( 2014 ), Gloor ( 2016a ), and Sotala and Gloor ( 2017 ) argue that the insufficient moral consideration of sentient artificial entities, such as the subroutines or simulations run by a future superintelligent AI, could lead to astronomical amounts of suffering. Kelley and Atreides ( 2020 ) have already proposed a “laboratory process for the assessment and ethical treatment of Artificial General Intelligence systems that could be conscious and have subjective emotional experiences.”…”

Section: Introductionmentioning

confidence: 99%

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The Moral Consideration of Artificial Entities: A Literature Review

Harris

Anthis

2021

Sci Eng Ethics

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Ethicists, policy-makers, and the general public have questioned whether artificial entities such as robots warrant rights or other forms of moral consideration. There is little synthesis of the research on this topic so far. We identify 294 relevant research or discussion items in our literature review of this topic. There is widespread agreement among scholars that some artificial entities could warrant moral consideration in the future, if not also the present. The reasoning varies, such as concern for the effects on artificial entities and concern for the effects on human society. Beyond the conventional consequentialist, deontological, and virtue ethicist ethical frameworks, some scholars encourage “information ethics” and “social-relational” approaches, though there are opportunities for more in-depth ethical research on the nuances of moral consideration of artificial entities. There is limited relevant empirical data collection, primarily in a few psychological studies on current moral and social attitudes of humans towards robots and other artificial entities. This suggests an important gap for psychological, sociological, economic, and organizational research on how artificial entities will be integrated into society and the factors that will determine how the interests of artificial entities are considered.

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Section: Appendixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Moral Consideration of Artificial Entities: A Literature Review

Harris

Anthis

2021

Sci Eng Ethics

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“…The possibility of AGI disaster is based on the idea that AGI will one day outsmart humanity, seize control of the world, and achieve whatever objectives it is programmed to pursue. Catastrophe will ensue unless it is configured with aims that are secure for mankind, or something else one cares about [226].…”

Section: And Explainability: a Machine Learning Zoo Mini-tour And Explainable Ai A Review Of Machine Learning Interpretability Methods Pamentioning

confidence: 99%

On Deep Research Problems in Deep Learning

Ulhaq¹

2021

Preprint

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The subject of deep learning has emerged in the last decade as one of the most promising approaches to machine learning. Today, certainly, much of the recent progress in artificial intelligence is due to it, but research challenges are still unresolved and remain open to the research community. This paper attempts to offer a comprehensive review of deep learning progress in active research frontiers. On the one side, by presenting a brief overview of deep learning success, we inspire researchers to work in deep learning. On the other hand, we examine a range of technical issues, and open research issues that we believe are relevant topics for exploratory research. As deep learning applies to various fields, we restrict this paper’s scope to visual recognition tasks to analyze these problems with a specific lens. However, these problems will be broadly applicable to other fields. It will make it easier for new researchers to recognize outstanding research problems in the deep learning domain.

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