Air Force Working Group Seeks Industry Input on Understanding AI/ML Bias

An inter-agency working group in the office of the U.S. Air Force Chief Scientist aims to better understand unintended biases affecting artificial intelligence and machine learning algorithms.

In a request for information, the Air Force said it is seeking feedback from industry and academic institutions to better understand various aspects of unintended AI/ML bias, including unintended AI and ML dataset bias, existing limitations on tackling such bias and areas that need further research. 

Interested industry stakeholders and academic organizations can submit their replies by May 15, according to the RFI posted on Tradewindai .com.

The government has been working to identify biases in AI systems. In January, the Chief Digital and Artificial Intelligence Office launched the AI Bias Bounty exercise, an event allowing professionals to produce techniques to audit and red-team AI models.

The Federal Trade Commission, Consumer Financial Protection Bureau, Department of Justice and Equal Employment Opportunity Commission have also collaborated to ensure the absence of bias in commonly used AI-powered technologies.