AI regulation must start with transparency, not fear
We cannot govern what we cannot see. Disclosure should come before prohibition.
By Rahul Karunakar, Editor-in-Chief
· 2 min read
The debate over artificial intelligence swings between utopian promise and apocalyptic fear. Neither is a basis for good law.
What regulators need first is visibility: what data systems are trained on, how they are tested and where they fail.
Mandatory transparency would let evidence, rather than anxiety, guide the rules that follow.
(The views and opinions expressed in this article are those of the author and do not necessarily reflect the official policy or position of SKAAH Media. The content is provided for informational and educational purposes only and should not be construed as financial, investment, legal, or tax advice. Readers should conduct their own research or consult a licensed financial advisor before making any investment decisions.)
Rahul Karunakar
Editor-in-Chief
Rahul Karunakar is Editor-in-Chief of SKAAH Media, with 25+ years of experience in business journalism across Reuters, NDTV, and WION. An expert in macroeconomics, financial markets, and monetary policy, he leads editorial teams delivering trusted news across TV, web, and social platforms to mass audiences and institutional clients alike.
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