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AI-powered apps offering medical diagnoses at the click of a button are often limited by biased data and a lack of regulation, leading to inaccurate and unsafe health advice, a new study found.

AI has become an omnipresent topic of discussion in our daily lives, both professionally and personally. While much has been written on the challenges, risks, and pitfalls of AI (and the strong need to regulate its development and deployment carefully), it's also important to highlight its numerous benefits and positive impacts on society and the economy.

Artificial intelligence can identify patterns in data much faster and more effectively and efficiently than humans can, but it is only applicable to the specific contexts in which data was created. Even then, AI can replicate the data鈥檚 biases and encode them, resulting in a major limitation that can lead to discrimination on the basis of sex or ethnicity. This is of particular concern for public sector organizations, which need to be fair to those they serve.

McGill Desautels Faculty of Management Professor Maxime Cohen was named Chief Artificial Intelligence Officer for Int茅gral, a digital accelerator that works with businesses to support their digital transformation and growth. The accelerator has offices in Canada and France, and supports their growth through multiple agencies that specialize in content, web infrastructure, analytics and digital marketing.

Artificial intelligence chatbots that show positive feelings 鈥� such as adding an 鈥淚 am excited to do so!鈥� or a few exclamation marks 鈥� do not necessarily translate into positive reactions or contribute to higher customer satisfaction, according to a recent study by researchers from the University of South Florida, the Georgia Institute of Technology and 香蕉视频.