Roman Yampolskiy 🇱🇻 🇺🇸
Computer scientist and University of Louisville professor whose work examines AI safety, cybersecurity, containment, and claimed limits on predicting, explaining, monitoring, and controlling advanced AI systems.
University of Louisville
- Evidence items
- 7
- Toward pressure
- +0.19
- Away pressure
- −0.05
- Net attributed pressure
- +0.14
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Videos featuring or explaining Roman Yampolskiy
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- personal siteRoman Yampolskiy
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Assessments involving Roman Yampolskiy
Yampolskiy forecasts AI could displace 99 percent of jobs by 2030
In a long-form interview, Roman Yampolskiy forecast that cognitive automation followed by humanoid robots could make almost all human labor uneconomic by 2030, leaving only a small set of jobs. The source establishes the dated forecast and his attribution, not that the displacement has occurred or that the timeline is likely.
Yampolskiy argues narrow AI can deliver benefits without general superintelligence
In a University of Louisville interview, Roman Yampolskiy argued that task-specific AI could deliver benefits such as drug development without creating a general system that competes with humans. He called for pausing general superintelligence until a control mechanism can be shown to remain safe as capability grows.
Yampolskiy says the shift from AI tools to agents makes open release harder to contain
In a full transcript, Roman Yampolskiy distinguished historically beneficial open-source software from agentic systems that can make decisions and act independently. He argued that emergent capabilities are discovered after training and that repeatedly releasing stronger systems creates a dangerous precedent. He described a forecast and mechanism, not a real escape.
Yampolskiy tells Kentucky lawmakers safety must win the AI development race
Reporting on Roman Yampolskiy's legislative testimony quoted him urging policies that make the slowest and safest developer economically competitive. He warned that industry timelines and deployment pressure could defeat those incentives. Official committee minutes independently corroborate the testimony and its policy focus.
Yampolskiy argues open release could let non-experts weaponize increasingly capable AI
In a full interview, Roman Yampolskiy argued that misuse scales with system capability, using ransomware as an example of non-experts causing large losses. He said openly releasing an uncontrolled AGI would expose a powerful dual-use system to malicious actors. This was a risk mechanism and forecast, not a reported AGI incident.
Researchers forecast AI-amplified cyber, physical, and political misuse
A 2018 report led by Miles Brundage forecasts that AI could lower the cost and expertise needed for attacks, introduce new digital, physical, and political threats, and complicate attribution, while proposing prevention and mitigation measures.
Yampolskiy argues fully autonomous AI can never be assumed safe
In a first-person MIRI interview, Roman Yampolskiy argued that AI safety engineering can constrain limited systems but cannot make fully autonomous, self-improving AI reliably safe. He pointed to inconsistent human values, uncertain goal preservation under self-modification, software faults, and fundamental verification limits.