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How IBM wants to use Watson AI to reduce bias in hiring

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On Monday, IBM announced the launch of Watson Recruitment's Adverse Impact Analysis capability, a feature that uses artificial intelligence (AI) to help companies make better, unbiased hires. The tool analyzes an organization's historical hiring data, and identifies instances of bias related to age, gender, race, education, or previous employer, helping HR professionals to root out bias in its hiring trends and avoid it in the future. AI has great promise for HR professionals in general--33% of CHROs said they believe AI will revolutionize the way they do business over the next few years, a recent IBM study found. However, AI will not fully overtake their roles, or those of all other human employees, the study found--65% of CEOs surveyed said that people skills will have a strong impact on their business over the next several years. The average hiring manager receives hundreds of applicants a day for certain positions, and can only spend about 6 seconds on each resume, IBM found.


GM will use Watson AI to recommend services on the road

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GM will use Watson AI to recommend services on the road

Engadget

Artificial intelligence isn't just being used to automate cars... it's finding a home in conventional cars, too. GM has unveiled a partnership with IBM that will see the Watson cognitive computing platform power OnStar Go, its latest in-car service offering. The AI technology will suggest stores and services based on your location, your decisions and your habits. If you're driving home from work, for example, OnStar can remind you to pick up shopping on the way back. It can also recommend restaurants when you arrive in a new city, or tell you that a store order is ready for pickup.