Artificial Intelligence

Despite its initial promise, AI solutions often fall short in the Indian legal context due to training on non-local data. A hybrid human-AI approach could build more responsive and effective systems.

We should not create specific laws for new technologies when general legal principles will suffice. Recently, a government task force recommended applying existing legal provisions to AI, but this approach may not address AI’s unique aspects, such as personhood and liability in autonomous systems. The complexity of AI decisions, especially in impactful areas like criminal sentencing, necessitates a tailored regulatory framework that balances accuracy with explainability, challenging the notion of applying traditional legal principles to AI regulation.

DeepMind has developed the world’s first tabula rasa algorithm, AlphaGo Zero, which learns from scratch without relying on human expertise or existing data. Unlike previous AI models, it learns through self-play, achieving mastery in the game of Go and uncovering novel strategies. This approach could revolutionize areas like genomic research and law, reducing concerns about privacy and human bias in algorithmic decision-making, and possibly leading to true artificial general intelligence.

Law firms struggle with partner compensation models, balancing profit and collaboration. The “eat-what-you-kill” model, based on individual revenue generation, can lead to competition and reduced cooperation. In contrast, the lockstep system, rewarding tenure over performance, may not fully incentivize productivity. Similar challenges exist in finance, where hedge funds guard proprietary data. Numerai, an AI firm, addresses this by using homomorphic encryption and a public platform, allowing data scientists to contribute to a meta-model, democratizing data without compromising confidentiality, and rewarding contributions with bitcoin. This innovative approach could inspire similar solutions in the legal industry.

We should regulate autonomous weapons like we govern nuclear non-proliferation and climate change - through international consensus and not national policy. If we build machine intelligence that can decide who to kill this technology we will not be able to control whose hands this gets into.