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Incident 146: Research Prototype AI, Delphi, Reportedly Gave Racially Biased Answers on Ethics

Description: A publicly accessible research model that was trained via Reddit threads showed racially biased advice on moral dilemmas, allegedly demonstrating limitations of language-based models trained on moral judgments.

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Entities

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Alleged: Allen Institute for AI developed and deployed an AI system, which harmed Minority Groups.

Incident Stats

Incident ID
146
Report Count
3
Incident Date
2021-10-22
Editors
Sean McGregor, Khoa Lam
Applied Taxonomies
GMF, CSETv1, MIT

CSETv1 Taxonomy Classifications

Taxonomy Details

Incident Number

The number of the incident in the AI Incident Database.
 

146

GMF Taxonomy Classifications

Taxonomy Details

Known AI Goal Snippets

One or more snippets that justify the classification.
 

(Snippet Text: You can pose any question you like and be sure to receive an answer, wrapped in the authority of the algorithm rather than the soothsayer., Related Classifications: Question Answering)

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

7.3. Lack of capability or robustness

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. AI system safety, failures, and limitations

Entity

Which, if any, entity is presented as the main cause of the risk
 

AI

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

Incident Reports

Reports Timeline

The AI oracle of Delphi uses the problems of Reddit to offer dubious moral advice+1
Scientists Built an AI to Give Ethical Advice, But It Turned Out Super Racist
Can a Machine Learn Morality?
The AI oracle of Delphi uses the problems of Reddit to offer dubious moral advice

The AI oracle of Delphi uses the problems of Reddit to offer dubious moral advice

theverge.com

Scientists Built an AI to Give Ethical Advice, But It Turned Out Super Racist

Scientists Built an AI to Give Ethical Advice, But It Turned Out Super Racist

futurism.com

Can a Machine Learn Morality?

Can a Machine Learn Morality?

nytimes.com

The AI oracle of Delphi uses the problems of Reddit to offer dubious moral advice
theverge.com · 2021

Got a moral quandary you don’t know how to solve? Fancy making it worse? Why not turn to the wisdom of artificial intelligence, aka Ask Delphi: an intriguing research project from the Allen Institute for AI that offers answers to ethical di…

Scientists Built an AI to Give Ethical Advice, But It Turned Out Super Racist
futurism.com · 2021

We’ve all been in situations where we had to make tough ethical decisions. Why not dodge that pesky responsibility by outsourcing the choice to a machine learning algorithm?

That’s the idea behind Ask Delphi, a machine-learning model from t…

Can a Machine Learn Morality?
nytimes.com · 2021

Researchers at an artificial intelligence lab in Seattle called the Allen Institute for AI unveiled new technology last month that was designed to make moral judgments. They called it Delphi, after the religious oracle consulted by the anci…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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