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Looking For An AI Ethicist? Good Luck

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As more companies adopt AI, the risks posed by AI are becoming clearer to business leaders. That is driving many companies to hire AI ethicists to help guide them through an ethical minefield. But just as data scientists proved to be as elusive as unicorns, qualified AI ethics are also in very short supply, says Beena Ammanath, executive director of Deloitte's AI Institute. "We've seen different models evolving. It's still very nascent," Ammanath tells Datanami.


Global Big Data Conference

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As more companies adopt AI, the risks posed by AI are becoming clearer to business leaders. That is driving many companies to hire AI ethicists to help guide them through an ethical minefield. But just as data scientists proved to be as elusive as unicorns, qualified AI ethics are also in very short supply, says Beena Ammanath, executive director of Deloitte's AI Institute. "We've seen different models evolving. It's still very nascent," Ammanath tells Datanami.


It's Time to Implement Fair and Ethical AI

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Companies have gotten the message that artificial intelligence should be implemented in a manner that is fair and ethical. In fact, a recent study from Deloitte indicates that a majority of companies have actually slowed down their AI implementations to make sure these requirements are met. But the next step is the most difficult one: actually implementing AI in a fair and ethical way. A Deloitte study from late 2019 and early 2020 found that 95% of executives surveyed said they were concerned about ethical risk in AI adoption. While machine learning brings the possibility to improve the quantity and quality of decision-making based on data, it also brings the potential for companies to damage their brand and reduce the trust that customers have placed in it if AI is implemented poorly.


Why Having a Chief AI Officer Should Matter to HR

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Companies using artificial intelligence (AI) across their business units should consider creating a C-suite position to oversee how AI is used and guard against the risk of making bad decisions based on biased algorithms, experts say. Only a few companies, like Levi Strauss & Co, have established a chief artificial intelligence officer (CAIO) position, and fewer have created a C-level position dedicated solely to AI ethics. Brian Kropp, chief of research in the HR practice at Gartner, said chief technology officers and chief information officers will struggle with handling AI-related decisions and ethical dilemmas. "CTOs and CIOs are going to be thinking about the role through the lens of how they can make the technology work," Kropp said. However, "artificial intelligence is not a question of how you get the technology to work; it's a question of how do you think through the implications of the technology?"


AI 2020: The year of robustness, ethics, and delivery

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Over the last two years, the ethical deployment of AI has been a growing concern for enterprises and technologists alike. But 2020 could be the year we really see it reach the forefront of AI development. According to Deloitte's second State of AI in the Enterprise survey, 32 percent of businesses rank ethical issues as one of the top three risks of AI, and most are yet to develop a specific approach to this problem. Meanwhile, 45 percent have appointed senior executives as AI champions – showing that AI is a growing strategic concern for enterprise leaders. What isn't clear is how this is going to affect the wider business landscape in 2020.