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Narayana Murthy, the co-founder of Infosys, addressed the growing fascination with Artificial Intelligence (AI) at TiECon Mumbai, aiming to provide a grounded perspective on the technology. In his speech, Murthy critiqued the excessive hype surrounding AI in India and emphasized the distinction between genuine AI systems and simple programming. While acknowledging AI’s transformative potential, Murthy urged entrepreneurs and businesses to approach the technology with a clearer understanding of its true capabilities and limitations.
A Reality Check on AI in India
During his appearance at TiECon Mumbai, Narayana Murthy remarked on the trend of calling every technological solution “AI,” even when they are merely traditional software systems. According to him, the overuse of the AI label has created misconceptions, leading many to believe that basic programs are somehow part of the AI revolution. “I think somehow it has become a fashion in India to talk of AI for everything. I have seen several normal, ordinary programs touted as AI,” Murthy said.
Murthy believes that true AI is based on two main principles: Machine Learning and Deep Learning. While Machine Learning focuses on supervised algorithms that require a lot of data input, Deep Learning uses unsupervised algorithms, simulating the human brain’s decision-making process. These unsupervised algorithms, Murthy suggests, hold the potential to push AI toward more human-like capabilities.
He emphasized that current AI systems, by and large, do not live up to their hype. Instead of truly innovative systems, many are simply old-fashioned coding techniques dressed up as AI. Murthy’s perspective suggests that real progress in AI lies in deep learning and neural networks, which can evolve independently and generate new branches of understanding and action.
AI and Employment: A Double-Edged Sword
While acknowledging the inevitable disruption AI will bring to the workforce, Murthy remained optimistic about its overall economic impact. “Every technology eliminates certain roles, but when applied supportively, it can expand the economy,” he noted. This balanced view recognized that, although AI may lead to job losses in certain sectors, its broader application could stimulate new opportunities, drive growth, and create entirely new industries.
Murthy’s remarks did not shy away from the reality of job displacement but urged entrepreneurs to focus on job creation. “I’m confident each of you will spawn hundreds of thousands of jobs—that’s how you tackle poverty. Handouts have never lifted any nation out of poverty,” Murthy added, emphasizing the role of entrepreneurs in shaping the future of work and contributing to economic development.
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The focus on deep learning and machine learning as the two pillars of AI is also noteworthy. While machine learning has become the more widely adopted form of AI, it requires extensive data input and often operates under supervised conditions. Deep learning, on the other hand, offers the possibility of systems that can learn independently, evolving in ways that mimic the human brain. This capability could lead to far more complex, adaptable, and human-like AI systems that have far-reaching implications in various industries.
However,
AI’s potential to create new industries and reshape existing ones is clear, but its impact on job markets cannot be ignored. Murthy’s call to action for entrepreneurs to focus on creating jobs and driving growth is crucial. It’s a reminder that technological progress must go hand in hand with efforts to ensure that all individuals have access to meaningful work and opportunities for advancement.
Fact Checker Results
1. Narayana
2.
- His views on AI-driven job displacement are balanced, acknowledging both the risks and opportunities technology brings to the economy.
References:
Reported By: https://timesofindia.indiatimes.com/technology/tech-news/infosys-cofounder-narayana-murthy-somehow-it-has-become-a-fashion-in-india-to-/articleshow/118991651.cms
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