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As organizations grapple with the "existential threat" of artificial intelligence, another issue should remain top of mind: How we're unintentionally introducing bias into the programs that might be making our decisions.

A new study reveals that training AI systems with normative labels rather than factual ones significantly improves their accuracy in predicting human normative judgments.

While everyone talks about hybrid work and quiet quitting, Lynda Gratton explores longer-term societal changes, and their ultimate impact on how we design office experiences.

Introducing variety into popular product recommendations can increase customer engagement by upwards of 30 per cent, a new study shows.

Watch as Ken Eakin explains the business system known as Lean, its effectiveness in manufacturing and other sectors and poorly applied in the knowledge economy.

Teaching machines to behave intelligently raises a number of difficult issues for society, says professor John Hull, a video entitled Machine Learning in Business.

Countering fears of AI and automation anxiety, Ken Goldberg, the UC Berkeley professor and CEO of Ambidextrous Robotics, emphasizes the positive potential of AI to give us more time to do what we do best.

Intent is knowable. Based on context — who is calling, where you are located, the time of day and other information — a virtual agent can rapidly identify what you are looking for. P.V. Kannan breaks down how AI can improve the customer experience and interactions.