Rahul Matthan is a Mint Author. He covers a range of topics including law and legal affairs, legal technology, and the intersection of science and healthcare, with a particular focus on AI and machine learning applications. Rahul's insights have been featured in prominent outlets such as Hindustan Times, Lexology, and the Carnegie Endowment for International Peace.
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India (National)
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Rahul Matthan's coverage primarily revolves around legal and compliance issues, particularly in the context of technology governance, data protection, AI regulation, and digital infrastructure. His focus on government announcements and legal policy regulation indicates a strong interest in developments related to these areas.
Given his emphasis on citing data and press releases, Rahul may be interested in receiving pitches that provide empirical evidence or official statements to support industry trends or regulatory changes within India. Additionally, he seems inclined towards analyzing global discussions through the lens of how they impact India's interests.
When reaching out to Rahul Matthan, consider offering insights from experts with specific knowledge about legal and compliance aspects of technology governance within India. This could include input from policymakers, legal professionals specializing in tech law, or representatives from relevant regulatory bodies such as those overseeing data protection or AI regulation.
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By: Rahul Matthan
Artificial intelligence promises much in the field of healthcare. But too much of what's on offer is not oriented to the needs of medical practice, but crafted by what data AI has access to. What doctors want solved should be the aim.
By: Rahul Matthan
Can the capacity to escape state surveillance be interpreted as an offence in itself? India's action directed at Bitchat reveals muddled thinking on basic principles. While the digital sector awaits clarity, Bitchat benefits from the Streisand effect.
By: Rahul Matthan
While open-weight models allow users to freely download their weights, that doesn't grant us the compute power needed for high inference tasks at the AI frontier. Users in India will benefit only once we serve intelligence on our own infrastructure.
By: Rahul Matthan
The Delhi high court cited a copyright exemption that lets artificial intelligence (AI) be trained on protected content only if it passes a test to qualify for it. While ANI lost to OpenAI, this doesn't relieve AI trainers of legal uncertainty.
By: Rahul Matthan
Despite elaborate efforts to ensure AI models only act in ways we approve of, every few days we hear of AI playing fast and loose with ethics. Perhaps we can take cues from human moral conditioning to stop AI agents from going rogue.
By: Rahul Matthan, Manish Sabharwal
The case for a single source of live, organized and searchable digital legislative truth is obvious. To create such a repository, we must encode all Indian legislation in a common digital markup language. Other countries are doing it. So should we.
By: Rahul Matthan, Manish Sabharwal
New Delhi, Aug. 25 -- The Government of India Act, 1935, was the last gasp of a colonial empire trying to stave off demands for democracy.
By: Rahul Matthan
It is often suggested that Indians are incapable of coming up with innovative products. That's not true. The case of India's Simputer explains why novel ideas don't get far. An invention is one thing, scaling up for commercial success quite another.
By: Rahul Matthan
The hack of Hugging Face by an agentic army wasn't a ‘civilizational' war in the digital realm, no matter how conspiratorial it seemed. We must stop viewing AI agents as versions of ourselves. For a better grasp of this technology, we need to see AI for what it is.
By: Rahul Matthan
Lawyers and mathematicians have something in common—AI has invaded tasks that exercise the mental faculties of learners. It's wise not to adopt AI blindly in fields where working problems out is at the heart of professional knowledge acquisition.
