Browse AI risks

554 entries · page 12 of 12

1. 71.02.03 · Risk Sub-Category

   User Intent

   Unintended Consequences

   "Unpredictable and unforeseen outcomes from purposeful actions"

   From Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy (Tang2025)

   Other Unintentional Other

2. 72.04.00 · Risk Category

   Systemic Risks

   "Systemic risks emerge from widespread deployment of general-purpose AI beyond the risks directly posed by capabilities of individual models. These risks arise from structural mismatches between AI technology and existing social, economic, and institutional frameworks, creating vulnerabilities that transcend individual model-level interventions and require coordinated industry-wide and societal-level responses."

   From Frontier AI Risk Management Framework (v1.0) (Tse2025)

   Other Unintentional Post-deployment

3. 73.04.00 · Risk Category

   LLM-Systems Can Be Untrustworthy

   "A key desideratum for an LLM from a user’s perspective is ‘trustworthiness’, i.e. assurance of reliability and consistent performance, and absence of any accidental harm caused by the technology to the user.16 Providing assurance that an LLM-based system will not cause accidental harm remains a major open challenge. Harms may either occur directly due to the flawed nature of LLMs, e.g. an LLM generating toxic language or behaving inappropriately in some other ways, or may occur due to improper usage by a user, e.g. automation bias due to a user’s overreliance on LLM."

   From Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

   AI Unintentional Post-deployment

4. 73.05.00 · Risk Category

   Socioeconomic Impacts of LLM May Be Highly Disruptive

   "The rapid evolution of LLMs brings significant socioeconomic opportunities and challenges, impacting the workforce, income inequality, education, and global economic development. Many of these challenges are systemic in nature, constituting what economists refer to as general equilibrium effects. These challenges do not arise directly from LLMs causing harm to users but rather from their indirect effects on the socioeconomic equilibrium."

   From Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

   Other Unintentional Post-deployment

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