The future of AI in our hands? To what extent are we as individuals morally responsible for guiding the development of AI in a desirable direction?

Author:

Persson ErikORCID,Hedlund MariaORCID

Abstract

AbstractArtificial intelligence (AI) is becoming increasingly influential in most people’s lives. This raises many philosophical questions. One is what responsibility we have as individuals to guide the development of AI in a desirable direction. More specifically, how should this responsibility be distributed among individuals and between individuals and other actors? We investigate this question from the perspectives of five principles of distribution that dominate the discussion about responsibility in connection with climate change: effectiveness, equality, desert, need, and ability. Since much is already written about these distributions in that context, we believe much can be gained if we can make use of this discussion also in connection with AI. Our most important findings are: (1) Different principles give different answers depending on how they are interpreted but, in many cases, different interpretations and different principles agree and even strengthen each other. If for instance ‘equality-based distribution’ is interpreted in a consequentialist sense, effectiveness, and through it, ability, will play important roles in the actual distributions, but so will an equal distribution as such, since we foresee that an increased responsibility of underrepresented groups will make the risks and benefits of AI more equally distributed. The corresponding reasoning is true for need-based distribution. (2) If we acknowledge that someone has a certain responsibility, we also have to acknowledge a corresponding degree of influence for that someone over the matter in question. (3) Independently of which distribution principle we prefer, ability cannot be dismissed. Ability is not fixed, however and if one of the other distributions is morally required, we are also morally required to increase the ability of those less able to take on the required responsibility.

Funder

marianne and marcus wallenberg foundation

Lund University

Publisher

Springer Science and Business Media LLC

Reference117 articles.

1. Bakke, E.: Predictive policing: the argument for public transparency. NYU Ann. Surv. Am. Law 74, 131–171 (2018)

2. Barrett, L.: Reasonably suspicious algorithms: predictive policing at the United States border. NYU Rev. Law Soc. Change 41, 327–365 (2017)

3. Häggström, O. (2021) Tänkande maskiner - Den artificiella intelligensens genombrott. Fri tanke förlag. ISBN: 9789189139978

4. Rose, D., Hanheide, M., Pearson, S. (2021, June 23). Robot farmers could improve jobs and help fight climate change—if they’re developed responsibly. The Conversation. Retrieved June 24, 2021, from https://theconversation.com/robot-farmers-could-improve-jobs-and-help-fight-climate-change-if-theyre-developed-responsibly-162718

5. Sharma, G.D., Yadav, A., Chopra, R.: Artificial intelligence and effective governance: a review, critique and research agenda. Sustain. Fut. (2020). https://doi.org/10.1016/j.sftr.2019.100004

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3