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Moving to “explainable AI” will remove much of the mystery around AI, and, as a result will drive adoption of more AI-driven services.

In the wake of the Pegasus Spyware controversy there were calls from many quarters for deeper control of AI by humans. Is it necessary?

A look at the ways that ethics and diversity are being built into AI and the importance of doing so.

PHOTO: Chris Yang | unsplash Five years ago, Microsoft released its infamous bot, Tay, into the world of Twitter. Tay used a machine learning algorithm to learn from interactions on the platform, to then echo novel responses back based on that learning. Within short time it became obvious that Twitter is not ideal ground for unsupervised learning. It turns out that the people who scream the loudest aren’t always the best teachers. Without a filtering mechanism, Tay started parroting back all kinds of racist, bigoted and misogynistic tweets. So naturally a question arose: how can we exp...

PHOTO: Franki Chamaki COVID-19 drastically impacted how businesses operate. In our virtual world where contactless is the norm, companies are finally prioritizing digital transformation so they can continue conducting business without needing to rely on in-person interactions. However, the digital world is vast and competition is steep. To operate their business more efficiently and compete effectively, companies are often forced to consider cutting-edge tools, such as artificial intelligence (AI). Despite this, enterprises remain reluctant to adopt AI due to a misconception that out-of-th...