December 1, 2024

AI Liability

AI is a probalistic, non-deterministic technology. This is the reason why it is capable of doing much of what we appreciate it for. However, this does not align with our legal system that is binary in application. We need to rethink our approach to liability if we are to avail the benefits of AI.

November 21, 2024

Tech Solutions for Use Limitation

The Account Aggregator system has implemented most data protection principles directly into code. With one exception - use limitation. A recent paper offers a technical solution to this problem through sharding and confidential multiparty compute.

November 13, 2024

A Tidal Wave of Disruption

In the rush to embed AI into their practice, most law firms have not realised how disruptive this could be to the way in which the business of law has traditionally operated. As we replace junior lawyers with AI that can do their work, how will we train the senior lawyers we need.

November 6, 2024

Networked Privacy

The individual agency that privacy laws offer were designed for a time before networked privacy. As a result we cannot just rely on laws and regulations to protect our data but need to do considerable additional work to secure it.

October 31, 2024

AI Optimisation

As we rely more and more on AI for information it is almost inevitable that companies will try to game the answer these AI chatbots provide to ensure that information favourable to them bubbles to the top. This has already begun to happen and it is only a matter of time before AI optimisation replaces SEO.

October 23, 2024

The Ban Reflex

The decision to ban the use of camera traps in private estates is typical of the kind of reflexive over-reach our government officials often resort to. In this instance, not only is there little legal substance behind the order, the long-term consequences are misaligned with the objective.

October 16, 2024

Acquiring Genetic Data

The question of what is to be done with personal data in the course of an M&A transaction is always complicated. It becomes even more so when the data in question is highly sensitive genetic information that was collected for a specific purpose. We need to think through these issues as the Indian law comes into force.

October 10, 2024

Homo Privaticus

We have built our data protection laws on the edifice of consent. As a result, they are based on constructs that are derived from contractual frameworks. While this may have been acceptable in the early days of privacy law, the harms they need to protect against today are perhaps more effectively dealt with under tort law. We need to re-think consent. This is a link-enhanced and slightly edited version of an article that first appeared in The Mint. You can read the original here. Economists a...

October 2, 2024

Data Transfer Interoperability

While data protection laws are for the most part domestically focussed, in order for personal data has to move across border they need to work well with each other.

September 24, 2024

Learing to Read

AI really comes into its own when we need customised solutions at scale. If we can identify use cases in which human intervention is simply not practical given the complexity and diversity of outcomes, AI might just be able to offer a way out. Such as, for instance, to provide bespoke education outcomes.