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Risk assessment and design support: challenges for data protection in Artificial Intelligence

  • March 22nd, 2022
Professor Martínez during his speech at the 7th Cumplen Meeting (Credit: Microsoft Chair).
Professor Martínez during his speech at the 7th Cumplen Meeting (Credit: Microsoft Chair).

The new European regulatory frameworks on Artificial Intelligence require a compliance methodology. In particular, during the risk and impact assessment phase and the phase accompanying the design. In this way, "the territory of data protection offers very useful scenarios of guarantee in this area", explains Professor Ricard Martínez M.

Professor Martínez, director of the Privacy and Digital Transformation Chair Microsoft - UV at the Universitat de València, presented these ideas at the 7th Cumplen Meeting of the Association of Regulatory Compliance Professionals, held on 17 and 18 March. On the occasion, he spoke about the progress of Artificial Intelligence (AI) and the legal frameworks that regulate this process.

"One of the issues that the European Union (EU) high-level expert group on AI pointed out when publishing its highlights for a robust and reliable AI, was to consider that the territory of data protection offered very useful scenarios of guarantee in this matter," explained the academic.

In this sense, the guidelines emanating from the OECD and UNESCO, together with the frameworks for guaranteeing fundamental rights and ethical frameworks applicable to AI that are being worked on in the Council of Europe and the European Union, are added to the right to data protection. Thus, the new regulatory frameworks require a compliance methodology.

Referring to the different rules of methodological approach to IA, some of them worked on in previous studies, he highlighted the accompaniment of legal experts for the fulfilment of the non-functional design, codification and testing phases. In fact, he pointed out that future European regulation on AI suggests that the risk and impact assessment phase and the accompanying design phase will be crucial to prove a company's due diligence. In particular, compliance with these standards will mean "that the institution weighed risks, followed an appropriate methodology and adapted a data-responsive design model", he added.

 

Presentation

The presentation on the progress of Artificial Intelligence (AI) and the legal frameworks that drive that process can be followed in the following video: