Tag: Data Privacy
-
Privacy-Enhancing Computation: Secure Data Without Sacrificing Performance
In an era of increasing data breaches and stringent privacy regulations, businesses face a critical challenge: how to extract value from sensitive data while keeping it secure. Traditional encryption methods often degrade performance, making large-scale analytics and machine learning impractical. Privacy-Enhancing Computation (PEC) solves this dilemma by allowing computations on encrypted data, without ever decrypting…
-
AI Ethics 2.0: Who Regulates Autonomous Decision-Making?
AI’s influence in hiring, healthcare, and other important decisions is undeniable. But who’s ensuring these systems are fair or even legal? From biased hiring algorithms to AI misdiagnosing cancer, autonomous systems make life-altering choices with zero accountability. The global debate over AI regulation is no longer theoretical. It’s urgent. Here’s why in 2025, leaders must be…
-
AI in Mental Health: Promises, Privacy Risks, and the Digital Therapy Boom
Mental health concerns are becoming a significant issue around the world, and AI tools and online therapy platforms are stepping in to help. While these new options make it easier for people to get support, they also raise important questions about keeping our data private, avoiding bias, and the importance of human connection in the…