Society’s response to disruptive technologies like AI follows a three-stage pattern: regulation, adaptation, and acceptance. Regulations tend to focus on first-order concerns, but overlook second-order consequences like the potential erosion of democratic values due to increased transparency of knowledge.
Worldcoin has been designed to address the concern that in a world saturated with artificial intelligence we are going to need a proof of humanness. As true as that might be, I believe we need to go much further. And also tackle truth in content.
Large language models require training data sets in order to continuously improve. However, given the rate at which models are growing we are soon going to run out of training data. And synthetic data is not the solution we thought it might be.
We tend to think of technology as either “good” nor “bad” based on the outcomes it has. This is futile as in most instances any harms that may be caused by technology is on account of how it is used and by whom.
As artificial intelligence enters into the music industry, incumbents have already begun to resist the transformation it will inevitably bring. But change is inevitable and it is only those artists who are able to embrace it who will survive the transition.
Our instinctive reaction to new and revolutionary technology is often fear of consequences that we cannot predict. But if we can rein in our instincts and conquer our fears, maybe we can master of the technology.
We have, for most of our existence as a nation, accepted the governance frameworks that have already been implemented elsewhere in the world. With digital public infrastructure India is, perhaps for the first time, making the rules. It is time for us to stop being rule-takers and assume the role of rule-makers.
When healthcare is powered by artificial intelligence and smart devices, we must ensure that all of humanity stands to benefit. We need open, transparent and customisable algorithms in our hardware.
Regulators believe that the moment a new technology comes around they need to flex their regulatory muscle to wrestle it under control. In most instances they would be far better off waiting till they fully understand all the dimensions of the problem before acting. The new CERT-In advisory on generative AI is a case in point.
Recent discussions on AI regulation often focus on privacy concerns, especially in relation to the GDPR. Large Language Models (LLMs) can conflict with GDPR principles like consent, data minimization, and retention. Conversational AI’s potential to store personal data raises further concerns. However, instead of constraining AI within outdated laws, regulatory frameworks should evolve to accommodate and enable new technologies, balancing innovation with privacy.
