By some estimates, 80% of AI tasks fail – greater than double the speed of non-AI IT tasks – however why? A bunch of RAND researchers investigated this challenge and located 5 key issues resulting in failure:
- Misunderstanding or miscommunicating the issue the AI wants to resolve
- A scarcity of information must adequately practice an efficient AI mannequin
- A bias towards the newest and biggest know-how, quite than specializing in fixing actual issues for his or her customers
- A scarcity of enough infrastructure to handle information and deploy accomplished AI fashions
- Making use of the know-how to issues too troublesome for AI to resolve
To keep away from the identical pitfalls, the authors supply a handful of suggestions for each trade and academia together with selecting enduring issues; specializing in the issues as a substitute of the know-how; investing in infrastructure up entrance; understanding AI’s limitations and creating partnerships between academia and authorities.
See the complete report here.
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