Bias Amplification in Artificial Intelligence Systems
  As Artificial Intelligence (AI) technologies proliferate, concern has
centered around the long-term dangers of job loss or threats of machines
causing harm to humans. All of this concern, however, detracts from the more
pertinent and already existing threats posed by AI today: its ability to
amplify bias found in training datasets, and swiftly impact marginalized
populations at scale. Government and public sector institutions have a
responsibility to citizens to establish a dialogue with technology developers
and release thoughtful policy around data standards to ensure diverse
representation in datasets to prevent bias amplification and ensure that AI
systems are built with inclusion in mind.
