MIT AI Risk Repository · Risk Sub-Category · 02.03.01

Academic Misconduct

Category: Unhelpful Uses

Open the MIT Risk Navigator All entries from Cui2024

Description

"Improper use of LLM systems (i.e., abuse of LLM systems) will cause adverse social impacts, such as academic misconduct."

From Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: 4. Malicious actors
Subdomain: 4.3 Fraud, scams, and targeted manipulation
Causal entity: Human
Intent: Intentional
Timing: Post-deployment

Subdomain definition: Using AI systems to gain a personal advantage over others such as through cheating, fraud, scams, blackmail or targeted manipulation of beliefs or behavior. Examples include AI-facilitated plagiarism for research or education, impersonating a trusted or fake individual for illegitimate financial benefit, or creating humiliating or sexual imagery.

Real-world incidents in this subdomain

Browse all incidents in this subdomain

How other frameworks describe this risk

Impersonation/identity theft
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)
IP/copyright loss
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)
Dehumanisation/objectification
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)
Defamation/libel/slander
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)
Financial and business
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)
Cheating/plagiarism
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)
Cybersecurity
Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)
Domain-Specific Misuses
Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)

Other entries from Cui2024

Harmful Content Risk Category · 1.2
Bias Risk Sub-Category · 1.1
Toxicity Risk Sub-Category · 1.2
Privacy Leakage Risk Sub-Category · 2.1
Untruthful Content Risk Category · 3.1
Factuality Errors Risk Sub-Category · 3.1
Faithfulness Errors Risk Sub-Category · 3.1
Unhelpful Uses Risk Category · 4.3
Copyright Violation Risk Sub-Category · 6.3
Cyber Attacks Risk Sub-Category · 4.2
Software Vulnerabilities Risk Sub-Category · 2.2
Software Security Issues Risk Category · 2.2