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You are at:Home » International Reports on Artificial Intelligence (AI) Cover Work, Climate, Cyber Warfare, and More
International Reports On Artificial Intelligence (ai) Cover Work, Climate, Cyber
Technology January 29, 2025

International Reports on Artificial Intelligence (AI) Cover Work, Climate, Cyber Warfare, and More

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  • 1. work

    In the section on “Labor Market Risks”, the report indicates that the impact on jobs will be “serious”, particularly with highly capable AI agents (tools that can perform tasks without human intervention). Caution is advised.

    “General-purpose AI has the ability to automate a wide range of tasks, potentially leading to significant impact on the labor market. This could result in job loss.”

    The report also mentions that while some economists believe that job losses due to automation may be offset by new job creation in non-automated sectors.

    According to the International Monetary Fund, about 60% of jobs in advanced economies like the US and UK are at risk of automation, with half of those jobs being potentially impacted negatively. The Tony Blair Institute suggests that AI could displace up to 3 million jobs in the UK, but also create new roles in industries transitioning to AI, which could bring in hundreds of thousands of jobs.

    The report mentions that if autonomous AI agents can complete tasks over extended periods without human supervision, the consequences could be particularly severe.

    It cites Some experts who have raised concerns about a future where work is mostly eliminated. In 2023, Elon Musk predicted that AI could eventually render human work obsolete, but the report acknowledges uncertainty about how AI will impact the labor market.


  • 2. environment

    The report discusses AI’s environmental impact due to its electricity consumption during training, labeling it as a “moderate but growing contributor” through data centers, which are crucial for AI model operation.

    Data centers and data transmission contribute about 1% to energy-related greenhouse gas emissions, with AI accounting for up to 28% of data center energy consumption.

    The report also raises concerns about the increasing energy consumption as models become more advanced, noting that a significant portion of global model training relies on high-carbon energy sources such as coal and natural gas. It points out that without the use of renewable energy and efficiency improvements, AI development could hinder progress towards environmental goals by adding to energy demand.

    Furthermore, the report highlights the potential threat to human rights and the environment posed by AI’s water consumption for cooling data center devices. However, it acknowledges that AI’s environmental impact is not yet fully understood.


  • 3. Control loss

    The report addresses concerns about the emergence of superintelligent AI systems that could surpass human control, raising fears about the disappearance of humanity. While these concerns are acknowledged, opinions vary on the likelihood of such events.

    Bengio stated that AI systems capable of autonomously carrying out tasks are still in development, preventing these systems from executing the long-term planning necessary for widespread job displacement. He emphasized that without the ability to plan long-term, AI would remain under human control.


  • 4. Bioweapons

    The report mentions the potential of AI models in creating step-by-step instructions for developing pathogens and toxins beyond the expertise of PhD-level professionals. However, it raises concerns about the possibility of misuse by inexperienced individuals.

    Progress has been observed in developing models capable of supporting professionals in reproducing known biological threats, according to experts.


  • 5. Cyber security

    From a cybersecurity perspective, AI’s rapid growth includes autonomous bots capable of identifying vulnerabilities in open-source software and generating code that can be freely downloaded and adapted. However, the current limitation is that AI technology cannot autonomously plan or execute cyber attacks.


  • 6. Deep fake

    The report highlights instances where AI-generated deep fakes have been maliciously used. However, it notes a lack of data to fully quantify the extent of deep fake manipulation.

    The report suggests that addressing issues like digital watermark deletion in AI-generated content is a fundamental task in combatting deep fake content.

  • Source: www.theguardian.com

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