Title |
Overview and commentary of the CDEI's extended roadmap to an effective AI assurance ecosystem
|
---|---|
Published in |
Frontiers in Artificial Intelligence, August 2022
|
DOI | 10.3389/frai.2022.932358 |
Pubmed ID | |
Authors |
Ethan Barrance, Emre Kazim, Airlie Hilliard, Markus Trengove, Sara Zannone, Adriano Koshiyama |
Abstract |
In recent years, the field of ethical artificial intelligence (AI), or AI ethics, has gained traction and aims to develop guidelines and best practices for the responsible and ethical use of AI across sectors. As part of this, nations have proposed AI strategies, with the UK releasing both national AI and data strategies, as well as a transparency standard. Extending these efforts, the Centre for Data Ethics and Innovation (CDEI) has published an AI Assurance Roadmap, which is the first of its kind and provides guidance on how to manage the risks that come from the use of AI. In this article, we provide an overview of the document's vision for a "mature AI assurance ecosystem" and how the CDEI will work with other organizations for the development of regulation, industry standards, and the creation of AI assurance practitioners. We also provide a commentary of some key themes identified in the CDEI's roadmap in relation to (i) the complexities of building "justified trust", (ii) the role of research in AI assurance, (iii) the current developments in the AI assurance industry, and (iv) convergence with international regulation. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
South Africa | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 25% |
Researcher | 2 | 10% |
Professor > Associate Professor | 1 | 5% |
Lecturer | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 2 | 10% |
Unknown | 8 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 20% |
Social Sciences | 3 | 15% |
Environmental Science | 1 | 5% |
Computer Science | 1 | 5% |
Business, Management and Accounting | 1 | 5% |
Other | 2 | 10% |
Unknown | 8 | 40% |