Ai Governance
2 articles
Tech & Innovation
AI in Science: A Five-Principle Self-Assessment Framework for Ethical Research
This article introduces a five-principle self-assessment framework to help researchers navigate the ethical risks of AI in scientific research. The framework addresses human oversight, transparency, fairness, privacy, and continuous risk management, offering diagnostic questions to identify and mitigate ethical exposure.
Sofia Petrova·November 6, 2026
Tech & Innovation
Responsible AI or Critical AI: Two Competing Philosophies Now Define the Governance Debate
The debate over AI governance is defined by two competing philosophies: "Responsible AI," emphasizing voluntary industry principles, and "Critical AI," advocating for strong, top-down regulation to prioritize public interest and social justice.
Jina Park·June 23, 2026