Ethics of AI: A Systematic Literature Review of Principles and Challenges
Paper
Khan, Arif Ali, Badshah, Sher, Liang, Peng, Waseem, Muhammad, Khan, Bilal, Ahmad, Aakash, Fahmideh, Mahdi, Niazi, Mahmood and Akbar, Muhammad Azeem. 2022. "Ethics of AI: A Systematic Literature Review of Principles and Challenges." 26th International Conference on Evaluation and Assessment in Software Engineering (EASE 2022). Gothenburg, Sweden 13 - 15 Jun 2022 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3530019.3531329
| Paper/Presentation Title | Ethics of AI: A Systematic Literature Review of Principles and Challenges |
|---|---|
| Presentation Type | Paper |
| Authors | Khan, Arif Ali, Badshah, Sher, Liang, Peng, Waseem, Muhammad, Khan, Bilal, Ahmad, Aakash, Fahmideh, Mahdi, Niazi, Mahmood and Akbar, Muhammad Azeem |
| Journal or Proceedings Title | Proceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering (EASE 2022) |
| Journal Citation | pp. 383-392 |
| Number of Pages | 10 |
| Year | 2022 |
| Publisher | Association for Computing Machinery (ACM) |
| Place of Publication | United States |
| ISBN | 9781450396134 |
| Digital Object Identifier (DOI) | https://doi.org/10.1145/3530019.3531329 |
| Web Address (URL) of Paper | https://dl.acm.org/doi/10.1145/3549036.3562057 |
| Web Address (URL) of Conference Proceedings | https://dl.acm.org/doi/proceedings/10.1145/3530019 |
| Conference/Event | 26th International Conference on Evaluation and Assessment in Software Engineering (EASE 2022) |
| Event Details | 26th International Conference on Evaluation and Assessment in Software Engineering (EASE 2022) Parent International Conference on Evaluation and Assessment in Software Engineering Delivery In person Event Date 13 to end of 15 Jun 2022 Event Location Gothenburg, Sweden |
| Abstract | Ethics in AI becomes a global topic of interest for both policymakers and academic researchers. In the last few years, various research organizations, lawyers, think tankers, and regulatory bodies get involved in developing AI ethics guidelines and principles. However, there is still debate about the implications of these principles. We conducted a systematic literature review (SLR) study to investigate the agreement on the significance of AI principles and identify the challenging factors that could negatively impact the adoption of AI ethics principles. The results reveal that the global convergence set consists of 22 ethical principles and 15 challenges. Transparency, privacy, accountability and fairness are identified as the most common AI ethics principles. Similarly, lack of ethical knowledge and vague principles are reported as the significant challenges for considering ethics in AI. The findings of this study are the preliminary inputs for proposing a maturity model that assesses the ethical capabilities of AI systems and provides best practices for further improvements. |
| Keywords | AI Ethics; Systematic Literature Review; Challenges; Principles; Machine Ethics |
| ANZSRC Field of Research 2020 | 460905. Information systems development methodologies and practice |
| Public Notes | The accessible file is the accepted version of the paper. Please refer to the URL for the published version. |
| Byline Affiliations | University of Oulu, Finland |
| Dalhousie University, Canada | |
| Wuhan University, China | |
| University of Loralai, Pakistan | |
| University of Ha'il, Saudi Arabia | |
| School of Business | |
| King Fahd University of Petroleum and Minerals, Saudi Arabia | |
| Lappeenranta-Lahti University of Technology, Finland |
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https://research.usq.edu.au/item/z58z2/ethics-of-ai-a-systematic-literature-review-of-principles-and-challenges
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