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.
There is no doubt that AI will fundamentally change the ways in which films are made. But rather than worry about how this might affect the film-making process, we should embrace the change that is about to come and use it to think up new approaches to story-telling.
All innovations build on those that came before. It is important to strike a balance between leveraging intellectual property protection for commercial benefit and stifling innovation in the process. And this is particularly relevant in the context of AI.
Everyone agrees that there is an urgent need to reform many aspects of the judicial system. One way to do this might be to re-consider the reliance we currently place on oral advocacy and try and find an alternative way of doing things. Maybe even get rid of it entirely.
One of the fastest growing categories of AI services is artificial companions. Recent advances in large language models have significantly accelerated its proliferation. But as much as there are benefits to conversational engagement with artificial intelligence, there are psychological implications we will have to consider.
Artificial Intelligence has the potential to significantly enhance our digital public infrastructure by bringing variety to a DPI approach that has so far been optimised for standardisation.
There has been growing concerns around the risks of open source AI. In the recent past these have begun to manifest themselves in the form of export restrictions on open source AI models - that could have a deleterious effect on India’s AI strategy.
Artificial intelligence might eventually replace us. But it still has a long way to go. In the meantime, rather than fretting about what might be, we should learn to use it so that we can make the most of all the efficiencies it offers. Here is how I do that.
We tend to resist change. We worry about the ways in which it could alter our existing way of life and the harms that could result as a consequence. But these technological changes almost always end up being nowhere near as frightening as they first seemed.
We need to encourage a culture of failure around AI so that when it fails we can understand why and disseminate those learnings throughout the industry. It is only when we can fail without fear that we will learn to do what it takes to build safe AI systems.
