Privacy vs Fairness in Computer Vision

Alice Xiang, a lead research scientist at Sony AI and the organization’s global head of AI ethics, is with us today. In our chat with Alice, we delve into the influence of data privacy legislation on the AI area while underlining concerns about unauthorized use and a lack of transparency in data utilization. We also explore the ongoing argument between privacy and fairness in computer vision. Alice offers a number of solutions to address these issues, such as working with third parties for data collection and developing closer ties with communities, to address the potential harm of inaccurate AI model outputs and the need for legal protection against biased AI products.

The history of unethical data collection practices in CV, the emergence of generative AI technologies that exacerbate the issue, the significance of operationalizing ethical data collection and practice, including appropriate consent, representation, diversity, and compensation, the need for interdisciplinary collaboration in AI ethics, and the growing interest in AI regulation, including the EU AI Act and regulatory activities in the US, are all topics we cover in our final discussion.

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