As AI begins to play a much larger role in our daily lives, informing healthcare decisions, making recommendations, helping us resolve customer service issues, talking with us as companion bots, making financial decisions, driving autonomous cars, and helping employees make more informed, faster decisions, it becomes more important that ethics and morality are built into AI applications. AI applications are making decisions that affect people's privacy, health, finances, jobs, criminal justice, safety, and overall happiness. Ethical AI is no longer an afterthought -- it must be built into the fabric of AI from this point forward. This article will look at the ways that ethics and diversity are being built into AI and the importance of doing so. To ensure that AI is ethical, it must be transparent and explainable.

As companies look to increase agility, flexibility and efficiency in response to the impact of the COVID-19 pandemic, many are turning to automation and artificial intelligence to create an intelligent enterprise. Our recent research highlights how organizations are responding to this rapid transformation to redesign roles and processes while creating new, innovative business models. You'll get details in our Automation Guide.

Scanning today's headlines about Artificial Intelligence reveals an atmosphere of optimism tempered by caution. Artificial intelligence presents a huge opportunity for everyone in the value chain: health providers and organizations, vendors, regulatory agencies, and, perhaps most importantly, patients. It's driving stats like these: Sixty-two percent of respondents in a 2019 survey by OptumIQ report "having implemented an AI strategy--an increase of nearly 88% from 2018 (33%)--while 22% report being at late stages of implementation." But in these early days, the way forward can be unclear, muddied by too many choices, too many voices, and too much-sunk cost in legacy systems and thinking. To gauge how industry leaders are using or planning to deploy AI, and to collect the best thinking on the most urgent opportunities for AI in healthcare in the near term, we asked experts and influencers to weigh in.

AI-enabled automation has generated its share of controversy. We've all heard the predictions: 40% of jobs will be eliminated by AI, echoed venture capitalist Kai-Fu Lee on 60 Minutes recently. And experts say this is even worse news for women. According to the Institute for Women's Policy Research, women "… are 58% of the workers at the highest risk." Women tend to hold the types of job ripe for automation: customer service and administrative positions that involve routine, repeatable tasks, according to the research.

IT vendors specializing in artificial intelligence and machine learning were quick to make news at HIMSS18. The vendors include Zebra Medical Vision, Orbita, Pieces Technologies and NTT DATA Services. Zebra Medical Vision unveiled at HIMSS18 its newest algorithm to be included in its growing Deep Learning Imaging Analytics platform. The algorithm, capable of detecting intracranial hemorrhages – or brain bleeds of different kinds – is the latest addition as part of its "All-In-One" AI1 business model, among them algorithms that automatically detect low bone mineral density, vertebral fractures, fatty liver, coronary artery calcium, emphysema and more. The timely detection of brain bleeds is critical.