This is a post authored by Mr Abhivardhan, our Chairperson. The original post can read here.
There is a clear reason why we at Indian Society of Artificial Intelligence and Law and even I have stood for standardising, and not regulating #artificialintelligence in India, yet.
Most people think regulatory debates are limited to the question of preventing a risk, or supporting big tech companies.
In reality, things are much much different.
In my keynote session at the AI and Law Conference at Government Law College, Mumbai, I explained in detail why standardisation is needed.
Watch the complete session at:
Let's take a simple example.
A company at the economic level of OpenAI or Mistral is in a position to compensate millions of dollars to an artist for potential copyright violations proven.
However, a start-up in India, where again, our per capita income ain't that good, and we need to increase capacity building and liberalised access to compute infrastructure, we cannot expect an Indian start-up to compensate the same way OpenAI or any other such company would be able to do.
So, yes, I do not think that mere backdoor discussions on AI, #copyright, #trademarks, #patents and even #privacy based in the United States should decide how things really happen in India.
The issue is that the Ministry of Electronics and Information Technology in India does not take public consultations seriously as opposed to other Government of India ministries. The Ministry Of Corporate Affairs have been so much open to consultations on their Digital Competition Act draft.
The best way you can standardise AI is by enabling benchmarking in India. It has to be a decentralised effort of independent organisations in the tech space. There are other legible ways too.
I believe the Department for Promotion of Industry and Internal Trade can enable AI standardisation by introducing classification methods to keep a record of AI use cases at every level, across sectors.
This helps our patent and other forms of IP-related ecosystems in India as well.
I hope this snippet from my keynote intrigues you. :)
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