The Adoption of AI Technology
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The Adoption of AI Technology

01solutionsdiverseFraming the challenge02WhatbroadThe definitional challenge03societynormsAligning tech04generationexperienceBridging social worlds05performacceptanceTrust06conveniencehospitalcaseThe Adoption of AI TechnologyEthics as a dialogue between firms and communities010203040506Framing the challenge.AI enables solutions as diverse as machine translation, self-driving cars, voice assistants, character and handwriting recognition, ad targeting, product recommendations, music recognition, and facial recognition.The definitional challenge: What is AI, and what are the problems?There is no widely agreed-upon and precise definition of what AI is and what it isn’t. This is in part because AI is a broad church, home to a range of otherwise unrelated technologies.Aligning technical solutions with social norms.Our second challenge—the problem of aligning technical (AI) solutions with social norms—is one of not seeing the wood for the trees. Bridging social worlds.The third and final challenge is bridging different social worlds. All of us have our own unique lived experience, an individual history that has shaped who we are and how we approach the world and society. Trust and acceptance.A successful AI solution—a successful automated decisioning network—is one that not only effectively performs its intended function, but one that is accepted, approved, and ultimately trusted by the people it touches.A case study: An intelligent hospital.Consider a case where a firm is developing a “smart” hospital. This hospital will have all the usual accouterments of a smart building: IoT sensor networks to track how inhabitants use the building.
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publish time: 2021-02-01
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The development period of AI, which is facing many challenges. The all-known one is trust and acceptance. One of its challenges is bridging social worlds. But AI enables solutions as diverse as machine translation, self-driving cars, voice assistants, character and handwriting recognition, ad targeting, product recommendations, music recognition, and facial recognition.

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