Privacy, AI governance, and data management might seem like separate issues, but they are deeply connected. Ojas Rege, the general manager of privacy and data governance at OneTrust, sheds light on how these areas intersect and why managing data effectively is crucial for all three.
Privacy: Handling Personal Information Responsibly
Privacy revolves around managing personal information throughout its lifecycle in a responsible way. According to Rege, “Privacy is all about how do I manage personal information across its lifecycle in a way that’s responsible.”
AI Governance: Feeding AI with the Right Data
When it comes to AI, it’s not just personal information that’s important but also other types of data. This data is used to train AI models. Rege emphasizes the importance of making the right decisions on the privacy side to ensure that the data fed into AI models is accurate and appropriate.
- Challenge: Ensuring the accuracy of data used in AI models.
- Risk: Using incorrect or inappropriate data can lead to flawed AI models.
- Opportunity: Proper data management can lead to more effective and ethical AI applications.
Data Governance: The Overarching Framework
Data governance acts as the umbrella that covers all the governing policies within an organization. This includes privacy and AI governance. Effective data governance ensures that data is managed transparently and ethically, fostering trust between organizations and their clients.
- Legislation Impact: Laws like California’s privacy laws and Europe’s GDPR have shifted data ownership from companies to consumers, pushing for transparent data management practices.
Key Points from Ojas Rege’s Interview
Rege discussed several critical aspects during his interview at the Cybersecurity Implications of AI Summit:
- Data Permanence in AI Models: The challenge of ensuring that data remains relevant and accurate over time.
- Accurate Data Input: The need to feed AI models with correct data to ensure they function correctly.
- Proactive Measures: Implementing proactive measures rather than reactive responses for ethical data management.
Experience and Expertise
Ojas Rege has over 30 years of leadership experience in various companies, including MobileIron, Yahoo!, Sybase, and Oracle. His expertise spans GTM strategy, mobility, security, privacy, and product management, making his insights particularly valuable in understanding the nexus of privacy, AI governance, and data management.
