MIT AI Risk Repository · Risk Sub-Category · 19.01.02
Programming error
Category: Technological, Data and Analytical AI Risks
On this page 4 sections
Description
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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Subdomain
- 7.0
- Causal entity
- Human
- Intent
- Unintentional
- Timing
- Pre-deployment
How other frameworks describe this risk
Other entries from Wirtz2022
- Technological, Data and Analytical AI Risks
- Loss of control of autonomous systems and unforeseen behaviour due to lack of transparency and self-programming/ reprogramming
- Lack of data, poor data quality, and biases in training data
- Vulnerability of AI systems to attacks and misuse
- Lack of AI experts with comprehensive AI knowledge
- Immaturity of AI technology can cause incorrect decisions
- High investment costs of AI hinder integration
- Informational and Communicational AI Risks
- Manipulation and control of information provision (e.g., personalised adds, filtered news)
- Disinformation and computational propaganda
- Censorship of opinions expressed in the Internet restricts freedom of expression
- Endangerment of data protection through AI cyberattacks