What exactly is a Chief Artificial Intelligence Officer — and what should they be aware of?
Every CAIO will need to take into account a significant aspect, which is expenses; the implementation of AI models comes with a high cost because cloud service providers and exclusive genAI applications demand extensive computational resources — premium,
Every CAIO will need to take into account a significant aspect, which is expenses; the implementation of AI models comes with a high cost because cloud service providers and exclusive genAI applications demand extensive computational resources — premium, costly computational resources. Furthermore, the processors that fuel the learning and deduction procedures in extensive language models may come at a price in the thousands. (Nvidia is the primary producer of GPUs for the AI sector, and its primary data center chip for vigorous operations costs $10,000; nevertheless, its stronghold on the AI processor market is being questioned by others striving to offer lower-priced chips.)
All government departments will appoint CAIOs.
The need for CAIOs isn’t just confined to private firms. In March, United States President Joseph R. Biden Jr. instructed all federal bodies to select CAIOs within two months, who would oversee the enhancement of AI innovation, cooperate with other departments, and handle the potential risks related to this technology. The deadline of 60 days underscored the immediate requirement for supervisory frameworks as AI adoption continues to skyrocket.
“Even though AI is uplifting activities and enhancing service provision within the Federal Government, departments must efficiently monitor its application,” specified Biden’s note. “The hazards… result from any dependency on AI outcomes to guide, influence, resolve, or carry out governmental judgments or activities, which may jeopardize the effectiveness, security, equality, impartiality, openness, responsibility, suitability, or lawfulness of said judgments or activities.”
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