Artificial intelligence technology that works well for the world’s billions of people of color was a business imperative for ...

Heuristics or mental shortcuts help humans survive data overloads. Instead of aiming for zero-bias artificial intelligence (AI), let’s aim to minimize the harms caused by biases. Trade-offs need ...

Industry leaders and their businesses are more susceptible to highly engineered and sophisticated attacks by hackers.

Organisations need a clear data strategy before feeding into LLMs, covering such factors as security, privacy, transparency ...

A new study finds that people are more concerned about the immediate risks of artificial intelligence, like job loss, bias, ...

Introduction The current era of artificial intelligence and big data development cause algorithm to dominate various fields including financial organizations along with recruitment agency and police ...

The financial sector has embraced AI and machine learning to automate credit decisions, but these tools learn from historical ...

Artificial intelligence is no longer the stuff of science fiction; it’s rapidly becoming embedded in our daily lives, ...

Part of AI governance should address concerns around bias, decision-making and the economic and cultural impact of the ...

AI regulation is a highly contested issue with its critics warning that any regulation will hinder the United States’ ability ...

Past efforts to “advance equity” in AI development and curb the production of “harmful and biased outputs” are a target of investigation, according to subpoenas sent to Amazon, Google ...