5 Deploying Artificial Intelligence ^Top through imaging, and even revolutionizing financial services transactions in emerging economies where creditworthiness is hard to prove.7 However, the technology is fueled by data and these solutions can magnify the biases inherent in that data and project them into the future — especially in high stakes areas such as the criminal justice system, social media, and hiring.8 Let’s dig deeper into this and numerous other hurdles that firms need to overcome if attempting to implement the technology.  Challenges That Can Derail F or any emerging technology to bring value to an organization, its implementation has to be supported by both organizational and technological capabilities. Here we outline AI-specific challenges in these two critical areas. ORGANIZATIONAL CHALLENGES • strategy Each of the following questions needs a clear answer for a robust AI strategy: Why should AI be a priority for my business? Would it offer me any long-term competitive advantage? What is the exact problem I should be addressing? What do success criteria look like and how can they be quantified? How can 7 Brad Smith, “Facial recognition: It’s time for action,” Microsoft On the Issues (blog), Microsoft, December 6, 2018, https://blogs.microsoft.com/on-the-issues/2018/12/06/facial-recognition-its-time-for-action/. AWS, Amazon Rekognition: Developer Guide, https://docs.aws.amazon.com/rekognition/latest/dg/consider- ations-public-safety-use-cases.html. AWS, Amazon Rekognition Customers, https://aws.amazon.com/rekognition/customers/. Ry Crist, “Amazon’s Rekognition software lets cops track faces: Here’s what you need to know,” CNET, March 19, 2019, https://www.cnet.com/news/what-is-amazon-rekognition-facial-recognition-software/. 8 Derek Thompson, “Should We Be Afraid of AI in the Criminal-Justice System?,” The Atlantic: The Presence of Justice, June 20, 2019, https://www.theatlantic.com/ideas/archive/2019/06/should-we-be-afraid-of-ai-in-the- criminal-justice-system/592084/.