Rahul Matthan is a Mint Author and a lawyer with a keen focus on the intersection of law and technology. He explores themes such as artificial intelligence, legal affairs, and legal tech, particularly delving into topics like AI platforms, generative AI, and digital forensics. Rahul's insights have been featured in prominent publications including Hindustan Times, Lexology, and the Carnegie Endowment for International Peace.
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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
Claude Mythos, an AI model developed but not released by Anthropic for being too ‘dangerous,' has uncovered hidden flaws in widely used software. The very knowledge of their existence could invite rogue actors to exploit them while defence tools lie out of reach.
By: Rahul Matthan
Quantum advances have not broken heavy-duty encryption yet, but seem well on their way to expose what we've long kept confidential. India must race to upgrade the cryptographic safety of digital public infrastructure before we face cyber threats.
By: Rahul Matthan
That most Indians don't have health insurance is less about behaviour and more about policy pricing—kept high by adverse selection. Finely sliced and diced actuarial numbers could be taken from Ayushman Bharat's database for AI to suggest risk-appropriate premiums.
By: Rahul Matthan
In 2024, the scientific community chose to halt mirror-life research as soon as its dangers became clear. Are the artificial intelligence (AI) stakes too high for this field of technology to take a cue from that episode of conscience-led self-restraint?
By: Rahul Matthan
With RBI's e-rupee ready, assets can be tokenized for trading on the same ledger system that underpins this CBDC. This speed transactions up, reduces risk and allows markets to emerge. It could put G-Secs into household portfolios.
By: Rahul Matthan
For privacy, an Aadhaar held in a digital wallet is safer than handing over a photocopy of one's ID card. In fact, we should open up the system further. If one's age is all a platform needs to check, for example, there's a way to ensure that's the only part disclosed.
By: Rahul Matthan
The controversy over AI use in literature that attended the Commonwealth Foundation prize shouldn't surprise us. Instead, this literary scandal should make us reflect on the future of AI-assisted writing. There's no getting away from it.
By: Rahul Matthan
AI agents have been seen to collude for price rigging, take action without authorization and worse. It is human actions, though, that are held liable under the law. To fix accountability in case of agentic violations, AI deployment needs to be tracked.
By: Rahul Matthan
The value of frontier artificial intelligence (AI) models lies in how well they can be personalized for one's needs. Companies selling legal AI tools, however, have standardized aids on offer that are far too one-size-fits-all to set one's law practice apart.
By: Rahul Matthan
New Delhi, June 9 -- All of a sudden, legal AI solutions are all the rage. Harvey, a leading legal AI company, is now valued at $11 billion, while
