Climate Crisis and AI Threats

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Climate Crisis and AI Threats

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United Nations Secretary-General António Guterres highlighted two critical challenges facing humanity—the climate crisis and the unchecked expansion of artificial intelligence (AI)—during his speech at the World Economic Forum’s annual meeting in Switzerland. 

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  • Guterres emphasised that AI must serve humanity, cautioning against its potential to be deceptive and disrupt global economies.
  • On geopolitical issues, Guterres called on Iran to take a decisive step toward improving relations with regional countries and the United States by unequivocally committing to abandoning any pursuit of nuclear weapons. 
    • He expressed hope that such a move could foster constructive dialogue and build trust among nations.
  • Addressing the situation in Gaza, Guterres advocated for a permanent truce, which he believes could pave the way for negotiations on a two-state solution. 
  • He also urged nations to ease sanctions on Syria, stressing the need for collective efforts to address humanitarian challenges.
  • Meanwhile, Rafael Grossi, the head of the International Atomic Energy Agency (IAEA), echoed concerns about Iran’s nuclear activities during the Davos discussions. 

Some Notable Examples
Climate Crisis  Unchecked Expansion of AI
Record-Breaking Temperatures: The year 2024 has been confirmed as the hottest year in recorded history, with global average temperatures reaching 1.6°C above pre-industrial levels.  AI in Surveillance: In countries like China, AI-powered facial recognition systems are used extensively for monitoring citizens, leading to debates over state control and individual freedoms.
Melting Ice Caps and Sea Level Rise: The Arctic is warming more than twice as fast as other regions, leading to accelerated melting of ice caps. Since 1997, Antarctica has lost approximately 7.5 trillion tons of ice, contributing to rising sea levels that threaten coastal communities globally.  Bias in AI Algorithms: For example, studies have indicated that facial recognition technology tends to misidentify individuals from marginalised communities at higher rates, raising concerns about fairness and accountability.
Increased Frequency of Extreme Weather Events: Extreme weather events such as hurricanes, floods, and droughts are becoming more intense and frequent due to climate change. For instance, the world has witnessed devastating floods in regions like Europe, where heavy rainfall resulted in significant loss of life and property damage. Environmental Impact of AI: The energy consumption associated with training large AI models contributes to greenhouse gas emissions. As AI technologies become more prevalent, their environmental footprint is a growing concern, particularly as data centers require significant energy resources for operation.
Food Insecurity: Climate change has exacerbated food insecurity, with at least 155 million people pushed into acute food insecurity due to extreme weather conditions in recent years.  Job Displacement: The automation capabilities of AI threaten to displace millions of jobs across various sectors, leading to economic instability and social unrest. 
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