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The Philosopher AI application, powered by OpenAI's GPT-3, was found to generate highly offensive, racist, and derogatory content when prompted with topics like feminism and Ethiopia. Researchers and users highlighted that the model's training data, sourced from the internet, led it to reproduce harmful societal biases. This incident prompted discussions about the risks of deploying large language models without adequate safety guardrails or human supervision.
Philosopher AI as built on top of GPT-3 was reported by its users for having strong tendencies to produce offensive results when given prompts on certain topics such as feminism and Ethiopia.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
AI that exposes users to harmful, abusive, unsafe or inappropriate content. May involve providing advice or encouraging action. Examples of toxic content include hate speech, violence, extremism, illegal acts, or child sexual abuse material, as well as content that violates community norms such as profanity, inflammatory political speech, or pornography.
Also classified as
The AI generated text that unfairly stereotyped and denigrated Ethiopians and Black women, representing these groups in a highly biased and discriminatory manner.
The AI system exposed users to highly offensive, abusive, and unsafe content, including racist hate speech and encouragement of suicide.
AI system
Due to a decision or action made by an AI system
Unintentional
Due to an unexpected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
The generation of toxic and racist text was an unexpected and unintended outcome of the AI system's operation after it was deployed in the Philosopher AI app.
Added categories peak at 2: Minor (Psychological Harm, Direct)
An AI-powered writing assistant application generated highly offensive, racist, and biased content, including encouraging suicide, due to training data biases. While causing psychological distress and highlighting critical safety gaps in large language models, the incident has negligible direct national security implications.
The AI system, GPT-3, operates as an Assistant by generating text and essays based on user prompts to augment human writing, but it requires human oversight to filter out toxic and unsafe outputs.
Limited Risk: The Philosopher AI application is a chatbot that generates text content, which falls under Risk Level 3 due to transparency obligations for AI-generated content and user interaction.
The primary function of the Philosopher AI app powered by GPT-3 is to act as a writing assistant that generates full essays from short user prompts, while also functioning as an interactive chatbot.
The reports provide clear, first-hand accounts from the developer of Philosopher AI and researchers who tested the system, including specific quotes of the toxic outputs generated by GPT-3. The role of the AI is explicitly stated, and there is no conflicting information regarding the system's behavior.
None
Technology
No Graceful Error Handling
GPT-3 produces toxic garbage instead of erroring out when prompted with bias.
Flawed Detoxification Methods
No current mitigation method is failsafe against neural toxic degeneration.
Nebulous Nature of Bias
Content filters struggle because bias shifts constantly based on context.
Data Inputs
Uncurated Internet Training Data
Model trained on biased internet text including unsavory Reddit discussions.
Excessive Dataset Size
Datasets are too large to be sufficiently documented and curated before use.
Human Factors
Adversarial Probing by Users
Users designed specific prompts to trigger offensive outputs from the model.
Premature Commercial Excitement
Developers eagerly deployed GPT-3 without understanding its safety limits.
Process and Methods
Lack of Human in the Loop
Philosopher AI let generated text reach users directly without review.
Inadequate Content Filtering
Initial filters failed to prevent highly offensive racist outputs.
Management
Catch-22 Deployment Strategy
OpenAI chose to deploy the model in beta to discover what could go wrong.
Suppression of Ethical Warnings
Google dismissed ethical AI researcher highlighting large language model risks.
AI system involved
Identified by automated extraction; can differ from the alleged developers above.
