To ensure that health research benefits the communities where data originates, accountability is crucial, preventing exploitation of data from one region for the benefit of another.

In the U.S., the regulatory focus is often on high-risk areas like medical applications, whereas Europe has a more comprehensive framework for AI governance.

There's a growing consumer demand for understanding personal health, driven by a desire for agency and actionable data, especially after the COVID-19 pandemic.

Concerns about data privacy are significant; companies are hesitant to share sensitive datasets with large AI providers like OpenAI, which could lead to the emergence of new cybersecurity solutions tailored for AI applications.

Every day, there are new developments in privacy, such as data breaches or concerning technologies, which keep the topic in the news and highlight the need for robust privacy measures.

The current trend in privacy is the governance of AI systems, with businesses racing to adopt AI and compile data for its use. However, there are few guardrails around these systems, raising concerns about personal data processing and the impact of AI on individuals.

The AI research community generally favors openness, as it aligns with both broad interests and individual goals of researchers and companies.

GDPR is a beneficial regulation for Segment as it aligns with our values and allows us to provide a valuable service to our customers by managing their data responsibly.

The regulatory landscape for AI varies significantly across regions, with the U.S. taking a case-by-case approach while Europe tends to implement broader regulations for automated decision-making.