Generative AI Could Be Transformative, Unless Regulators Stifle It

The need to tackle global issues such as climate change, health crises, and food security has never been more urgent. Given that the available resources—human and financial—are increasingly constrained, we need to think beyond “business as usual” in order to drive real and lasting positive change.

Much of the excitement around generative AI is centered on its impact on consumer-focused applications. But applied reliably, responsibly, and in a relevant context, this technology can positively influence many other fields as well. Just consider that, in view of rising staffing shortages in the public sector, AI holds great promise with regard to improving the quality of government services—the “G2C” dimension, for government to citizen.

Ultimately, collaboration and intelligent networks are at the heart of the solutions to our global challenges. This is especially critical with regard to reducing CO2 emissions. Today, recording accurate carbon emission data remains a resource-intensive challenge. In the future, AI will automatically collect and efficiently analyze this data, enabling companies to take concrete climate action.For all the great promise of AI, there are legitimate concerns.

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