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Measurement in AI Policy: Opportunities and Challenges

Measurement in AI Policy: Opportunities and Challenges


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Author Apolinario ("Sam") Ortega - founder of INVBAT.COM - AI + CHATBOTPosted on March 26, 2021May 19, 2021Categories Measurement in AI Policy

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Previous Previous post: If these projections pan out, businesses could lose an unprecedented number of employees and face tackling the challenge of onboarding an influx of new hires remotely. This will create pressure on HR teams already tasked with rethinking policies for hybrid work and create instabilities that could affect employee morale and engagement.
Next Next post: it is important to measure AI inputs, i.e., skills, software, data, and management practices as well as AI outputs i.e. AI consumption patterns. Both are difficult to measure as they are often service-based and their intangibility remains a measurement challenge
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