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Three Ways To Prepare Your Workforce for Artificial Intelligence - IEEE Innovation at Work


According to the news site Axios, 61% of organizations are just starting to adopt AI for decision-making, while 19% are categorized as having barely begun. Surveyed business leaders are hesitant to adopt AI because many organizations--particularly non-tech companies--"don't completely trust it" and "can't tap the talent they need." However, businesses that decide not to adopt the technology risk falling behind.

How Institutional Review Boards Can Reduce AI Risks - IEEE Innovation at Work


Similarly, institutional review boards charged with AI oversight can look to previous cases to apply their principles consistently. Let's say, for example, that your IRB declined to approve a contract with a particular country due to ethical risks related to how that government functions. It could apply the reasoning behind that decision to similar cases in the future. Additionally, if a certain case is unprecedented, an IRB can apply fictionalized scenarios to help it understand how it should apply its principles.

Four Steps Organizations Can Take To Establish AI Standards - IEEE Innovation at Work


Artificial intelligence (AI) is evolving rapidly. According to multinational professional services company, Accenture, businesses spent $306 billion USD on AI applications over the past three years. Despite the advancement of AI, there are currently no specific ethical regulations around the technology--though some governments, including the European Union, are working to establish them. Meanwhile, many organizations are beginning to develop AI standards that will ensure their applications are trustworthy and safe for customers. For example, IBM has taken major steps to build trustworthiness for its AI applications, including the creation of an AI ethics board and AI policies, such as the company's Principles for Trust and Transparency.

Are Tech Leaders and Governments Prepared for Rapidly Advancing Artificial Intelligence? - IEEE Innovation at Work


As AI evolves, it's expected to give a boost to some highly anticipated technologies, including gene editing, which Gates says has the potential to squelch diseases like malaria. However, it also poses complex challenges. While the public worries that AI can replace human labor in the workforce, many experts are instead concerned about the dangers it poses to privacy and safety. Will AI-backed facial recognition applications create a surveillance nightmare for the public? Another looming question: As AI rapidly develops, will regulations be able to keep up?

Can Artificial Intelligence Prevent School Violence? - IEEE Innovation at Work


More and more frequently, schools across the United States are turning to artificial intelligence-backed solutions to stop tragic acts of student violence. Companies like Bark Technologies,, and Securly, Inc., are using a combination of artificial intelligence (AI) and machine learning (ML) along with trained human safety experts to scan student emails, texts, documents, and in some cases, social media activity. They're looking for warning signs of cyber bullying, sexting, drug and alcohol use, depression, and to flag students who may pose a violent risk not only to themselves, but to classmates as well. Any potential problems discovered trigger alerts to school administration, parents, and law enforcement officials, depending on the severity. Bark ran a test pilot of its program with 25 schools in fall 2017.

Is Artificial Intelligence Only for the Rich? - IEEE Innovation at Work


In conversations about the future of artificial intelligence (AI), the idea that machines will soon take over our whole lives and even eliminate jobs, increasing the numbers of people unemployed, usually comes into play. One of the biggest names in AI, Hinton is known as the godfather of AI for his pioneering work in neural networks. He is now professor of computer science at the University of Toronto and part of the Google Brain project. In his book, Architects of Intelligence: The Truth About AI from the People Building It, Martin Ford talks with Hinton about the economic and social ramifications of AI, and Hinton says that dramatically increasing productivity should be a good thing. According to Hinton, "People are looking at the technology as if the technological advances are the problem. The problem is in the social systems, and whether we're going to have a social system that shares fairly, or one that focuses all the improvement on the 1% and treats the rest of the people like dirt. That's nothing to do with technology."