In contrast to other high-risk industries, artificial intelligence presents special challenges for regulation and governance. Therefore, relying solely on experts, research, and conventional testing is insufficient to create artificial intelligence (AI) that is secure from harm. True diversity is required for the development of artificial intelligence. People with varied life experiences and differing points of view need to be included in the conversation and their insights, concerns, and observations to be heard and factored into the development.
Multi-Stakeholder Feedback is essential to identify potential harms of an artificial intelligence application. MKAI has the largest and most diverse AI de-risking community in the world.
Learn how to gain vital perspectives about the potential risks, harms, exclusions, biases and prejudices from your AI.