Feedback on the European Commission's Discussion Paper Regarding the Artificial Intelligence White Paper
The Center for Data Innovation has submitted comments to the European Commission on the White Paper on Artificial Intelligence (AI), expressing concerns about the proposed policies and suggesting a more balanced approach.
The white paper outlines policy options for promoting AI adoption in the EU while addressing associated risks. However, the Center for Data Innovation argues that the Commission's proposed policies could potentially slow down AI innovation and adoption in the EU.
One of the key issues raised by the Center for Data Innovation is the Commission's focus on trustworthy and ethical AI, which they believe narrows the focus too much. Instead, they suggest a broader approach that fosters EU competitiveness, enables scientific breakthroughs, and encourages innovation.
The Center for Data Innovation also criticizes the Commission's proposed unrealistic requirements for AI systems in its policies. They argue that these requirements could be onerous and counterproductive, potentially hindering the development and adoption of AI technologies in the EU.
Another concern raised by the Center for Data Innovation is the lack of emphasis on data quality in the Commission's proposed policies. They believe that high-quality data is essential for the development and deployment of AI, and that the Commission should prioritize ensuring data quality.
To address these concerns, the Center for Data Innovation recommends that the Commission develop a proportionate approach based on the innovation principle. They also suggest prioritizing dialogue with industry, involving EU partners and democratic allies in the process, and ensuring legal certainty and limiting the cost of using AI.
The Center for Data Innovation's comments come as the Commission embraces the precautionary principle in its proposed policies, which some argue could slow down AI innovation and adoption in the EU. The comments argue that a more balanced approach is needed to strike the right balance between promoting AI innovation and addressing associated risks.
Overall, the Center for Data Innovation's comments highlight the need for a more nuanced approach to AI policy in the EU. By fostering innovation, ensuring data quality, and working closely with industry and EU partners, the Commission can help promote the development and adoption of AI technologies while addressing associated risks.
