Rahul Matthan is a lawyer and writer based in India. He is a regular contributor to Livemint and Lexology, and his work has also been featured in publications such as Hindustan Times, Carnegie Endowment for International Peace, Observer Research Foundation, ThePrint, and Scroll Media. Rahul's articles focus on various aspects of technology, data protection, and policy, offering insightful analysis and commentary on these subjects.
Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston
India (National)
Not enough data
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.
This information evolves through artificial intelligence and human feedback. Improve this profile .
By: Rahul Matthan
Telegram and X face the wrath of authorities that are no longer willing to let them decide what content people can access. Online platforms’ immunity on third-party content has begun coming apart and internet users may not be ready for it.
We need to lower barriers, align benefits and offer tax gains so that businesses are incentivized to go formal. Ultimately, however, it will be for small and medium enterprises (SMEs) to realize the benefits of doing so.
Reliable data to evaluate credit worthiness can go with other DPI platforms to democratize formal lending. Over time, we can expect it to deliver innovations we can't even dream of today.
By: Rahul Matthan, Rudra Chaudhuri"},{"@Type
If the Quad can embrace DPI and actively support its adoption, there is a chance for democratic public infrastructure to shape the fortunes of large parts of the Indo-Pacific and beyond.
We need artificial intelligence to solve real-world problems that humans have struggled with. If it can't, it will end up as just another fad. A major test case will be how it helps improve the learning outcomes of our school children. A Tamil Nadu experiment shows promise.
To ease data inflows even from the most privacy-minded of jurisdictions, like the EU, we could join the Global Cross Border Privacy Rules Forum. Since the GCBPR checklist is close to what local privacy norms require, its certification is within the reach of Indian data processors.
Data protection laws which assume people know what they’re doing when they offer consent for the use of their data have a fatal flaw. To fix it, data collectors must be held responsible for the privacy harms they cause, whether or not they took consent.
What happens when a business that's privy to our personal data gets acquired by another? India's digital personal data protection law has a gap that needs to be plugged so that consent taken in one context doesn't get used in another.
By: Rahul Matthan
Given that forest departments can’t hope to monitor the movement of all wildlife, camera images captured by private individuals are a simple way to augment their information on animals outside the territory they patrol.
An industry is arising to help brands work out how to game what AI chatbots say, just as search engine optimizers arose to tilt search results one way or another. This raises ethical questions and could make users wary of generative artificial intelligence.
(833) 317-6278 
