A former Google DeepMind researcher has become the latest artificial intelligence expert to publicly warn about the potential long-term risks posed by advanced AI systems, adding to an ongoing debate within the technology industry about the future development of the technology.
Bilal Chughtai, who previously worked on artificial general intelligence (AGI) safety and alignment research at Google DeepMind, said he recently left the company and believes advanced AI could pose serious risks if not developed and managed responsibly.
In comments posted on social media, Chughtai said he views AI as having the potential to cause catastrophic consequences and expressed concern that the window for addressing such risks may be narrowing. He worked as a research engineer at Google DeepMind and was involved in research related to AI safety and alignment before leaving the company earlier this year
His remarks follow similar warnings from other researchers in the AI field. Recent public discussions have focused on concerns about how increasingly capable AI systems should be governed, tested, and deployed as technological progress accelerates.
The debate gained additional attention after researcher Jacob Coxon cited concerns about advanced AI development when explaining his departure from AI company Anthropic. Another Anthropic researcher, Evan Hubinger, also publicly discussed risks associated with highly advanced AI systems, contributing to wider conversations about the potential societal impacts of the technology.
The growing discussion has prompted calls from some industry leaders for greater caution in the development of powerful AI models. Over the weekend, Anthropic Chief Executive Officer Dario Amodei advocated for a slower pace of advanced AI development, arguing that additional safeguards and oversight may be necessary as systems become increasingly capable.
The proposal sparked debate within the technology sector, attracting support from some prominent figures while also drawing criticism from others who argue that innovation should continue alongside appropriate safety measures.
The discussion reflects a broader divide within the AI community. Some researchers emphasize the technology’s transformative potential in fields such as healthcare, education, scientific research, and productivity. Others argue that developers and governments must place greater focus on long-term safety, regulation, transparency, and risk management.
As governments, technology companies, and researchers continue to assess the opportunities and challenges presented by advanced AI, questions surrounding safety, governance, and responsible development are expected to remain central to global discussions about the future of artificial intelligence.
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