MIT AI Risk Repository · Risk Category · 73.05.00

Socioeconomic Impacts of LLM May Be Highly Disruptive

Open the MIT Risk Navigator All entries from Anwar2024

Description

"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), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: —
Subdomain: —
Causal entity: Other
Intent: Unintentional
Timing: Post-deployment

Other entries from Anwar2024

Agentic LLMs Pose Novel Risks Risk Category · 7.2
Natural Language Underspecifies Goals Risk Sub-Category · 7.1
Goal-Directedness Incentivizes Undesirable Behaviors Risk Sub-Category · 7.2
Safety Risks from Affordances Provided to LLM-agents Risk Sub-Category · 7.2
Multi-Agent Safety Is Not Assured by Single-Agent Safety Risk Category · 7.6
Foundationality May Cause Correlated Failures Risk Sub-Category · 7.6
Groups of LLM-Agents May Show Emergent Functionality Risk Sub-Category · 7.6
Collusion between LLM-Agents Risk Sub-Category · 7.6
Dual-Use Capabilities Enable Malicious Use and Misuse of LLMs Risk Category · 4.0
Misinformation and Manipulation Risk Sub-Category · 4.3
Cybersecurity Risk Sub-Category · 4.3
Cybersecurity Additional evidence