December 20188 IN MY V EWThe AI market is expected to reach $47 billion in 2020 and studies show that over 80 percent of global enterprises are either already implementing AI technologies or looking at doing so in the near term. Yet, there are two very clear aspects that are proving as showstoppers in a broad scale adoption of AI ­ the lack of skills and potential liabilities that might be created. The dearth of good data scientists and AI engineers are well discussed. This article provides my point of view on the latter.The perception of potential liabilities stems from the "black box" approach to AI technologies that makes them impenetrable to questioning and the level of transparency any regulated organisation needs. This also creates perceptions of a lack of trust in the systems and raises questions about their organisational and societal ethical considerations from decisions made by using AI.Explainable AIIn the book "The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future", Kevin Kelly states, "A good question is what humans are for", I would like to extend that to ­ a good answer is what AI is for. To me, these two statements provide a great perspective on the value of a human and a machine working together. People excel at things like value judgement, common sense and setting goals. Machines excel at large scale mathematical calculations, EXPLAINABLEAI BY DEV MOOKERJEE, CTO, IBM WATSON SOLUTIONS, ASIA PACIFIC
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