On the promotion of safe and socially beneficial artificial intelligence

The case for motivated reasoning.

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Effects of externally mediated rewards on intrinsic motivation.

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The Constructive, Destructive, and Reconstructive Power of Social Norms

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An Explication of Social Norms

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The psychological consequences of money

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Concrete Problems in AI Safety

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On the Expressive Function of Law

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Robot ethics: the ethical and social implications of robotics

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Research Priorities for Robust and Beneficial Artificial Intelligence

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Why the Future Doesn't Need Us

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Climate change and moral judgement

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Catastrophe: Risk and Response

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Using Cognitive Dissonance to Encourage Water Conservation ¹

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Catastrophe

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Law and Social Norms: The Case of Tax Compliance

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The Psychology of Climate Change Communication: A Guide for Scientists, Journalists, Educators, Political Aides, and the Interested Public

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To Practice What We Preach: The Use of Hypocrisy and Cognitive Dissonance to Motivate Behavior Change

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How long until human-level AI? Results from an expert assessment

Baum, S. D., Goertzel, B., & Goertzel, T. G. (2010) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2010.09.006 · Cited by 141 · see citing works

Racing to the precipice: a model of artificial intelligence development

Armstrong, S., Bostrom, N., & Shulman, C. (2015) · AI & Society · doi:10.1007/s00146-015-0590-y · Cited by 137 · see citing works

Declining public concern about climate change: Can we blame the great recession? §

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Recurring Dilemmas: Law's Race to Keep Up with Technological ChangePreprint

Moses, B., & Kay, L. (2006) · SSRN Electronic Journal · doi:10.2139/ssrn.979861 · Cited by 132 · see citing works

Singularity Hypotheses

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Responses to catastrophic AGI risk: a survey

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Recurrent fury: Conspiratorial discourse in the blogosphere triggered by research on the role of conspiracist ideation in climate denial

Lewandowsky, S., Cook, J., Oberauer, K., Brophy, S., Lloyd, E. A., & Marriott, M. (2015) · Journal of Social and Political Psychology · doi:10.5964/jspp.v3i1.443 · Cited by 111 · see citing works

Three Effects of Social Norms on Law: Expression, Deterrence, and Internalization

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Fears of an AI pioneer

Bohannon, J. (2015) · Science · doi:10.1126/science.349.6245.252 · Cited by 91 · see citing works

Safety Engineering for Artificial General Intelligence

Yampolskiy, R. V., & Fox, J. (2012) · Topoi · doi:10.1007/s11245-012-9128-9 · Cited by 79 · see citing works

Humanitarian reframing of nuclear weapons and the logic of a ban

Borrie, J. (2014) · International Affairs · doi:10.1111/1468-2346.12130 · Cited by 77 · see citing works

Intrinsic Ethics Regarding Integrated Assessment Models for Climate Management

Schienke, E. W., Baum, S. D., Tuana, N., Davis, K. J., & Keller, K. M. (2010) · Science and Engineering Ethics · doi:10.1007/s11948-010-9209-3 · Cited by 38 · see citing works

The Role of the National Science Foundation Broader Impacts Criterion in Enhancing Research Ethics Pedagogy

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Individual Values and Social Goals in Environmental Decision Making

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How to Design AI for Social Good: Seven Essential Factors

Floridi, L., Cowls, J., King, T. C., & Taddeo, M. (2020) · Science and Engineering Ethics · doi:10.1007/s11948-020-00213-5 · Cited by 430 · see citing works

AI-enabled recruiting: What is it and how should a manager use it?

Black, J. S., & van Esch, P. (2020) · Business Horizons · doi:10.1016/j.bushor.2019.12.001 · Cited by 403 · see citing works

Hybrid collective intelligence in a human–AI society

Peeters, M. M. M., van Diggelen, J., van den Bosch, K., Bronkhorst, A., Neerincx, M. A., Schraagen, J. M., & Raaijmakers, S. (2021) · AI & SOCIETY · doi:10.1007/s00146-020-01005-y · Cited by 229 · see citing works

Speeding up to keep up: exploring the use of AI in the research process

Chubb, J., Cowling, P., & Reed, D. (2022) · AI & SOCIETY · doi:10.1007/s00146-021-01259-0 · Cited by 218 · see citing works

Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms

Giovanola, B., & Tiribelli, S. (2023) · AI & SOCIETY · doi:10.1007/s00146-022-01455-6 · Cited by 193 · see citing works

Factors that influence new generation candidates to engage with and complete digital, AI-enabled recruiting

van Esch, P., & Black, J. S. (2019) · Business Horizons · doi:10.1016/j.bushor.2019.07.004 · Cited by 186 · see citing works

A Survey of Artificial General Intelligence Projects for Ethics, Risk, and Policy

Baum, S. D. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3070741 · Cited by 93 · see citing works

Governing Boring Apocalypses: A new typology of existential vulnerabilities and exposures for existential risk research

Liu, H.-Y., Lauta, K. C., & Maas, M. M. (2018) · Futures · doi:10.1016/j.futures.2018.04.009 · Cited by 59 · see citing works

A step toward building a unified framework for managing AI bias

Rana, S. A., Azizul, Z. H., & Awan, A. A. (2023) · PeerJ Computer Science · doi:10.7717/peerj-cs.1630 · Cited by 23 · see citing works

REx Incentives

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An Analysis of Incentive Principles on High-education Administration

Chang-jun, X. (2002)

Designing incentives in organizations

Roberts, J. H. (2010) · Journal of Institutional Economics · doi:10.1017/s1744137409990221 · Cited by 54 · see citing works

On the three levels of teacher-incentive methods in higher vocational colleges

Ming-xi, Z. (2009) · Journal of Zhenjiang College

Investigation on Status of Spirit Incentive to TB prevention and Control Staff

Jian-jun, L. (2011) · Zhongguo gonggong weisheng guanli