Fair forecast? How 180 meteorologists are delivering ‘good enough’ weather data
Weather forecasts, too, are all about data and models these days. But balancing accuracy and viability is a fine act, especially on a global scale and when the stakes are high. What’s a good enough weather prediction? That’s a question most people probably don’t give much thought to, as the answer seems obvious — an […]
Read More →You.com is taking on Google with AI, apps, privacy, and personalization
Award-winning AI research? Check. Startup and enterprise experience? Check. Venture capital and Mark Benioff backing? Check. Is that enough for Richard Socher’s you.com to take on Google? Are you happy with Google search? Regardless of how you answer this question, chances are you still use it. With the notable exceptions of China and Russia, where […]
Read More →The data science and AI market may be out for a recalibration
Data science roles are still "sexy" but not immune to the job market turmoil.
Read More →Resisting the urge to be impressed, knowing what we talk about when we talk about AI
A brief history of recent advances in AI, what they mean, and why you should care — or not.
Read More →The EU AI Act could help get to Trustworthy AI, according to the Mozilla Foundation
The EU AI Act may turn out to be one of the most influential legal frameworks in the world. Here is how, and why, the Mozilla Foundation is engaging with it, and how you can get involved too
Read More →The EU AI Act: What you need to know
After data privacy and GDPR, the EU wants to leave its mark on AI by regulating it with the EU AI Act. Here's what it is, what it means for the world at large, when it's expected to take effect, and what experts from the Mozilla Foundation have to say about it.
Read More →Averting the food crisis and restoring environmental balance with data-driven regenerative agriculture
Modern agriculture was broken long before pandemics, wars, supply chain disruptions, and fertilizer shortages. Regenerative agriculture can fix it.
Read More →LinkedIn on the ‘Great Reshuffle’: Green skills, green jobs, and blind spots
LinkedIn embarked on an ambitious analysis of data from its nearly 800 million members worldwide to derive insights on the green transition. But while useful, the analysis comes with its blind spots, too.
Read More →Massaging AI language models for fun, profit and ethics
Do AI language models really demonstrate intelligence? What about morality? Is it ok to tweak them, and if yes, who gets to do this, and how do the rest of us know?
Read More →Trustworthy AI: How to ensure trust and ethics in AI
A pragmatic and direct approach to ethics and trust in artificial intelligence (AI) — who would not want that? This is how Beena Ammanath describes her new book, Trustworthy AI.
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