On Tuesday, Prime Minister Narendra Modi called for investment in skill development and retraining people for an Artificial Intelligence (AI) – driven future.
PM Modi stated, while addressing the AI Action Summit at the Grand Palais in Paris, “Loss of jobs is AI’s most feared disruption, but history has shown that work does not disappear due to technology, only its nature changes. We need to invest in skilling and re-skilling our people for an AI-driven future”.
Alongside French President Emmanuel Macron, Prime Minister Modi is co-chairing the AI Action Summit.
The Prime Minister stated, “We must develop open-source systems that enhance trust and transparency. We must build quality data centres free from biases, we must democratize technology and create people centre applications. We must address concerns related to cyber security, disinformation and deepfakes”.
He continued, “We must also ensure that technology is rooted in local ecosystems for it to be effective and useful. Loss of jobs is AI’s most feared disruption, and history has shown that work does not disappear due to technology, only its nature changes. We need to invest in skilling and re-skilling our people for an AI-driven future”.
He added, “AI is developing at an unprecedented scale and speed and being adapted and deployed even faster. There is also a deep interdependence across borders. Therefore, there is a need for collective global efforts to establish governance and standards that upload our shared values, address risks, and build trust”.
PM Modi: “Governance about ensuring access to all”
The Prime Minister asserted that, particularly in the Global South, government is about making sure that everyone has access.
ANI quoted Modi as saying, “It is where the capabilities are most lacking be it power, talent, or data for the financial resources. AI can help transform millions of lives by improving health, education, agriculture and so much more. It can help create a world in which the journey to sustainable development goals becomes easier and faster. To do this, we must pull together resources and talent. We must develop open-source systems that enhance trust and transparency. We must build quality data sets free from biases”.
