Source: Brookings Institution

The Brookings Institution explores the ethical and practical importance of obtaining consent in the collection and use of data for artificial intelligence applications. In an era described as a "data gold rush," the article argues that failing to secure meaningful consent undermines trust, violates privacy, and risks regulatory backlash.

The article emphasizes that traditional methods of obtaining consent, such as lengthy and opaque privacy policies, are inadequate in the context of AI. Instead, it advocates for clear, informed, and continuous consent mechanisms that empower individuals to understand how their data is used.

It also discusses the tension between rapid AI innovation and ethical data practices, calling for policy frameworks that prioritize user rights without stifling technological advancement. The authors argue that incorporating robust consent protocols can enhance transparency, foster public trust, and align AI development with societal values.

This discussion reinforces the need for proactive governance in AI, ensuring that the benefits of innovation are realized without compromising ethical standards.