Artificial Intelligence: Policy alignment between the public and private sectors

According to a global EY survey, there are significant differences in the public and private sector about how they perceive the future of Artificial Intelligence systems in terms of ethics, governance, privacy, and regulatory issues. The report, Bridging AI’s trust gaps, which has been carried out in collaboration with The Future Society in July 2020, identifies differences in the use of Artificial Intelligence in four key areas: impartiality and avoidance of prejudice, innovation, data access, and finally, data privacy protection.

In a survey conducted between 71 policymakers and more than 280 companies worldwide, participants were asked to prioritize, in order of importance, ethical principles related to Artificial Intelligence, in the context of 12 different use cases, while, at the same time, their views on the risks and the regulation of the use of Artificial Intelligence were recorded.

According to their responses to the research, there is a broad consensus among policymakers on the ethical principles associated with different applications of Artificial Intelligence. For example, regarding the use of Artificial Intelligence in order to identify individuals, policymakers agree that “impartiality and the avoidance of prejudice” and “protection of privacy and data” are – by far – the two top principles responses while on the other hand, responses are more evenly distributed among the eleven available options, with the top ones being linked to the existing regulatory framework (eg General Data Protection Regulation).

While policymakers and businesses agree that is required an approach that involves all the interested parties in order to define the Artificial Intelligence governance guidelines, the survey highlights disagreements over how to take it with: 38% of Private companies expect that the head of this initiative will be led by the private sector, an opinion in which agree only 6% of policymakers. This diversification creates potential challenges for both sides in terms of the evolution of the governance framework, while, at the same time, it carries market-related risks, as well as regulatory challenges, for companies that are already developing Artificial Intelligence products, at a time when the various approaches to governance are still under discussion.

Read the full article at TechGear

Read the entire report here

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