AI And Human Enablement: Augmenting Decision-Making
According to the statistics, GPT-4 can help 90 per cent of the lawyers pass a law exam and produce similar results across various tests and use cases. It is believed that the cost of digital products in the future, because of so much automation, is going to become zero. However, the question revolves around personalisation and generative artificial intelligence (AI) creating experiences, which has never been done before.
“Gen AI indeed has the potential to create experiences based on personalisation. The reason I believe in that it is true is because if you look at what hasn't changed in the experience are the three ‘Cs’. The context of the individual, which is the personalisation aspect of it, the convenience to the user, and the personal care. These three ‘Cs’ are sacrosanct. Technology waves have come and gone, but for users these aspects have remained constant. However, customer loyalty is fragile, (in fact) it is at an all-time low. The engagement with brands has changed and it used to be largely offline. Today, we are all very aware about the omni-channel,” said Praveen Bhadada, Head of Generative AI, Persistent Systems, speaking during a panel discussion at the BW Businessworld Gen AI Summit 2024.
Hence, the intersection of the 3 Cs and the two disruptions in the form of these new types of channels and the broken loyalty about products is the point where Gen AI can create massive disruption, he added.
Meanwhile, another panelist Lokesh Nigam, CEO and co-founder, Konverz.ai, said, “AI will largely be about human enablement rather than changing humans or displacing humans. AI is augmenting humans in decision making, information and work.”
Further, Nigam advocated for the three Cs of disruption, which are cognition, connections and consciousness. “While human consciousness is irreplaceable, but cognition is going to have a massive augmentation.”
Nigam further added that all the social media revolution is essentially about connections and how it has enhanced connection globally. “Hence, from a human perspective, we should invest in the third C, which is the consciousness revolution to enable humans to do better things.”
“A lot of students who are in rural locations don't get high quality teachers because affluent people prefer metro cities. To integrate AI more into education, we have created a mother teacher and made it accessible on WhatsApp. We are counting the number of words that humans say in a minute and we are trying to match that so that a better rapport can be built with the AI. She immediately knows if you are backbencher or a front bencher and helps students accordingly,” said Arjun Reddy, co-founder, HaiVE.
Conversely, Karthikeyan Girijanandan, Senior Director-Engineering, Ascendion highlighted the role of Gen AI in architecture and said, “The three-tier architecture is still going to stay, we cannot say Gen AI adds another layer of architecture, rather there’s an infusion of Gen AI into each of those layers. So, literally Gen AI is going to act as a sidecar for all the components that's lying in each of those layers. Today, we have a lot of silos and there is information as symmetry across that. We need to build a centralised governance Gen AI platform.”
“Privacy is really a top of the mind concern for anybody building and deploying Gen AI solutions in production. Sanitisation in real time at a prompt level, output level is essential. We don’t build an LLM application or an LLM pipeline without putting these necessary components. There are plenty of evaluation methods and as well as algorithmic solutions, in order to prevent things like red teaming, prompt injection attacks data, corruption attacks,” said Jigar Gupta, Head of Product, RagaAI Inc, concluding the session.
