Twitter recently came under fire due to structural bias in their cropping algorithm used to crop photos for the Twitter feed.
Every day, more and more decisions are made across the enterprise, and many of these decisions are made by algorithms within AI systems. Humans can unconsciously bring biases into their decision-making, and we must ensure that these...
Bias in AI is and remains an increasing phenomenon. To overcome bias, you need to apply the aspect of fairness. This article will examine the legal frame, looking into specific nuances of fairness in AI.
There is no doubt that AI is a game-changer. Both when it comes to how we live and work. However, for many organizations and companies, the greatest challenge is understanding the full impact that AI will have on how we think about and design how we will work in the future.
Most blogs, papers, and articles within the field of AI start by explaining what AI is. I will assume that the reader of this piece knows more about AI than what would be possible to put into one paragraph, but for the sake of...
Technology developers cannot predict the future, but they will have to look into the crystal ball of tomorrow to build technology that accounts for long-term social impact.
In recent years, AI has evolved from science fiction to part of our everyday lives. Emerging tech is on the cusp of revolutionizing global value chains. Shaping a “new corporate tomorrow” is already taking place, and the ethical issues related to AI have been laid out in numerous executive debates.
The High-Level Expert Group on Artificial Intelligence (AI HLEG) presented the final Assessment List for Trustworthy Artificial Intelligence (ALTAI).
When it comes to facial technology and its controversies, it is clear that something needs to be done. Applying facial recognition models to identify and track citizens and allowing apps that can recognize anyone ever to post a picture online is unacceptable.