Touched by AI: Competitive intelligence culls new data insights
Competitive intelligence algorithms combine historical and real-time data with machine learning to predict trends and optimize pricing.
Competitive intelligence algorithms combine historical and real-time data with machine learning to predict trends and optimize pricing.
Any organization that uses or develops AI should focus on their AI governance practices, lest they put their business and customers at risk.
How forming an AI ethics committee will educate and engage your teams and customers about ethical dilemmas artificial intelligence can raise.
One tool isn't going to solve the world's responsible AI dilemma, but focusing on developing an ecosystem of responsible AI might be the place to start.
Flaws in a facial recognition dataset that was discovered by researchers highlight just some ways in which biometrics tech can cause harm to LGBTQ+ individuals.
Building ethical voice AI will require solid governance, regular inspection, bias tests, and avoidance of personal data.
To address this ever-growing issue, the White House today released a Blueprint for an AI Bill of Rights. This outlines five principles that should guide the design, use and deployment…
Responsible AI is a necessity now, as discussed at Transform 2022. AI bias could affect access to healthcare and employment.
Mastercard's JoAnn Stonier discusses "lopsided" AI tools, driven by datasets that are incomplete, inaccurate or riddled with bias.
The pace of AI innovation has accelerated and it's far ahead of public policy frameworks. Responsible AI must be a priority for developers.