In the context of understanding, possibly developing, and enhancing an ethical framework for healthcare applications, we face fragmented, evolving standards on medical data disclosure. In light of these significant barriers, we evaluate and discuss a proposed modular integration of legal, ethical, and technical disclosure standards (e.g., HIPAA, GDPR, Xcertia, ISO/IEEE 11073)¹ into transparency, autonomy, and compliance processes across jurisdictions.
Open Ethics x Pirate Night Workshop: The Transparency Circle
In this article, we take a closer look at the Open Ethics x Pirate Night Workshop that revealed why traditional approaches to AI transparency fall short and what actually works.
When machines feel too real: the dangers of anthropomorphizing AI
In this article, we explore the growing trend of human-AI relationships, what AI actually is, the risks of anthropomorphizing it, and how we can navigate this treacherous road humanity is speeding down… safely.
The AI race: Should global dominance trump AI transparency and safety?
As the global race for AI dominance cranks up, what are the potential risks when superpowers like the U.S. prioritize winning over AI transparency and safety? And while ongoing advances in artificial intelligence do benefit society, will unregulated innovation serve our good or speed up humanity’s downfall?