Bias In AI was built in 2019 to bridge awareness and visibility of AI Bias within the expanding commercial marketplace of machine intelligence. Every enterprise and industry will be impacted by core technology stacks, tools, and data, powering both professional and personal interfaces of the future. Gartner predicts 85 percent of AI projects will deliver erroneous outcomes due to bias in data, algorithms, or the teams responsible for managing them.
As this industry will leapfrog to $266 billion by 2027, our primary goal is to empower businesses and consumers everywhere to make better informed, smarter decisions when piloting or launching responsible AI programs through a combination of buy, build and outsource efforts.
Through industry research insights and workshop education, we want to empower venture capitalists, enterprises and government stakeholders with best practices. strategy planning and informed decision making in evolving and quick accelerating AI regulatory environments.