How was that credit application declined? Why was that person denied parole? How were disability benefits cut for those constituents? And why do computers learning from humans automatically see certain occupational words as masculine and others as feminine? It’s hard to explain how the most advanced algorithms make decisions. But as predictive systems proliferate, there are signs we’ve become more wary of their use in making critical decisions.

There’s a lot of hype out there about artificial intelligence (AI) and how it’s revolutionizing this or transforming that. But in this timely remix of a previously published post, AI expert Joanna Bryson (@j2bryson) calls out AI hyperbole and helps us cut through the smoke and mirrors on: Note: Bryson is Professor of Ethics and Technology at the Hertie School of Governance in Berlin where she educates future technologists and policymakers on digital inclusion and AI governance.

Artificial intelligence (AI), automation and machine learning (ML) are rapidly transforming the analytical experience for everyday business users in 2021. Whether it’s automated visualizations, continuous analysis, or reduced time-to-insight, there are many practical benefits of augmented analytics that are well documented and fully realized today.

As a result of overwhelming excitement (and pressure) from my fellow Qlikkies, I’m going to share with you the recent demo I did at our all-company annual kick-off which shows Active Intelligence in action. It was intended to be an “internal-only” demo because it mixes existing capabilities with near-term future ones, but, on reflection, I think you, too, will be just as excited.