Ethical machines: The human-centric use of artificial intelligence
Today's increased availability of large amounts of human behavioral data and advances in artificial intelligence (AI) are contributing to a growing reliance on algorithms to make consequential decisions for humans, including those related to access to credit or medical treatments, hiring, etc....
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2021
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| Online Access: | https://hdl.handle.net/1721.1/135644 |
| _version_ | 1811082649576407040 |
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| author | Lepri, Bruno Oliver, Nuria Pentland, Alex |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Lepri, Bruno Oliver, Nuria Pentland, Alex |
| author_sort | Lepri, Bruno |
| collection | MIT |
| description | Today's increased availability of large amounts of human behavioral data and advances in artificial intelligence (AI) are contributing to a growing reliance on algorithms to make consequential decisions for humans, including those related to access to credit or medical treatments, hiring, etc. Algorithmic decision-making processes might lead to more objective decisions than those made by humans who may be influenced by prejudice, conflicts of interest, or fatigue. However, algorithmic decision-making has been criticized for its potential to lead to privacy invasion, information asymmetry, opacity, and discrimination. In this paper, we describe available technical solutions in three large areas that we consider to be of critical importance to achieve a human-centric AI: (1) privacy and data ownership; (2) accountability and transparency; and (3) fairness. We also highlight the criticality and urgency to engage multi-disciplinary teams of researchers, practitioners, policy makers, and citizens to co-develop and evaluate in the real-world algorithmic decision-making processes designed to maximize fairness, accountability, and transparency while respecting privacy. |
| first_indexed | 2024-09-23T12:06:45Z |
| format | Article |
| id | mit-1721.1/135644 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:06:45Z |
| publishDate | 2021 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1356442023-11-08T21:55:38Z Ethical machines: The human-centric use of artificial intelligence Lepri, Bruno Oliver, Nuria Pentland, Alex Massachusetts Institute of Technology. Media Laboratory Today's increased availability of large amounts of human behavioral data and advances in artificial intelligence (AI) are contributing to a growing reliance on algorithms to make consequential decisions for humans, including those related to access to credit or medical treatments, hiring, etc. Algorithmic decision-making processes might lead to more objective decisions than those made by humans who may be influenced by prejudice, conflicts of interest, or fatigue. However, algorithmic decision-making has been criticized for its potential to lead to privacy invasion, information asymmetry, opacity, and discrimination. In this paper, we describe available technical solutions in three large areas that we consider to be of critical importance to achieve a human-centric AI: (1) privacy and data ownership; (2) accountability and transparency; and (3) fairness. We also highlight the criticality and urgency to engage multi-disciplinary teams of researchers, practitioners, policy makers, and citizens to co-develop and evaluate in the real-world algorithmic decision-making processes designed to maximize fairness, accountability, and transparency while respecting privacy. 2021-10-27T20:24:25Z 2021-10-27T20:24:25Z 2021 2021-06-30T18:48:50Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135644 en 10.1016/j.isci.2021.102249 iScience Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Elsevier |
| spellingShingle | Lepri, Bruno Oliver, Nuria Pentland, Alex Ethical machines: The human-centric use of artificial intelligence |
| title | Ethical machines: The human-centric use of artificial intelligence |
| title_full | Ethical machines: The human-centric use of artificial intelligence |
| title_fullStr | Ethical machines: The human-centric use of artificial intelligence |
| title_full_unstemmed | Ethical machines: The human-centric use of artificial intelligence |
| title_short | Ethical machines: The human-centric use of artificial intelligence |
| title_sort | ethical machines the human centric use of artificial intelligence |
| url | https://hdl.handle.net/1721.1/135644 |
| work_keys_str_mv | AT lepribruno ethicalmachinesthehumancentricuseofartificialintelligence AT olivernuria ethicalmachinesthehumancentricuseofartificialintelligence AT pentlandalex ethicalmachinesthehumancentricuseofartificialintelligence |