From Black Box to Glass House: The Imperative for Transparent AI Development
Date Published
From Black Box to Glass House argues that fear-driven regulation of AI risks stifling innovation and entrenching power in the hands of a few corporations. The Nous Research team makes the ethical case for open-source AI, noting that proprietary systems are already hacked and that no software is truly ‘closed’ for long. They cite the frequency of data breaches among Fortune 100 companies and caution against handing control of powerful models to governments or corporations. By contrast, open-source AI democratizes technology and invites a global community to inspect and improve systems, balancing the power between developers and users. The article encourages policymakers to resist knee‑jerk bans and instead embrace transparency and education as the path to safer AI development.