The Management Tip of the Day

Talk to Your Team About Using AI.‌ Generative AI, particularly large language models (LLMs) like ChatGPT, will have major implications for employee productivity. As your team starts experimenting with the technology, managers must educate people on what AI can—and can't—do well. For example, while AI is excellent at spotting patterns, aggregating information, and making predictions, it's not yet capable of generating truly original insights. With this in mind, encourage your employees to evaluate whether AI's capabilities match with a task and proceed accordingly. For example, it could help people process a lot of information quickly or generate a bunch of new ideas. It can even offer advice to help people make a difficult decision, provided it's been trained on relevant data. But emphasize to your employees that they shouldn't use AI to create meaningful work products without human oversight. The most important thing to stress at this early stage is that AI's outputs are only as good as its datasets and algorithms—and those aren't always reliable. Today’s Tip  Talk to Your Team About Using AI Generative AI, particularly large language models (LLMs) like ChatGPT, will have major implications for employee productivity. As your team starts experimenting with the technology, managers must educate people on what AI can—and can't—do well. For example, while AI is excellent at spotting patterns, aggregating information, and making predictions, it's not yet capable of generating truly original insights. With this in mind, encourage your employees to evaluate whether AI's capabilities match with a task and proceed accordingly. For example, it could help people process a lot of information quickly or generate a bunch of new ideas. It can even offer advice to help people make a difficult decision, provided it's been trained on relevant data. But emphasize to your employees that they shouldn't use AI to create meaningful work products without human oversight. The most important thing to stress at this early stage is that AI's outputs are only as good as its datasets and algorithms—and those aren't always reliable. This tip is adapted from “8 Questions About Using AI Responsibly, Answered,” by Tsedal Neeley ADVERTISEMENT Stay connected with HBR. We make it our job to help you do yours. Subscribe to HBR and unlock access to unrivaled business insight and resources. Choose your subscription plan Managing Cyber Risk Check out our latest Insight Center Learn how your organization can mitigate the risk. Read now Ebook or paperback HBR Guide to Remote Work by Harvard Business Review $19.95 Learn more Don’t forget you’re entitled to 20% off your first purchase* *Use promo code HBRORGREG4. View details here. View in browser Contact us Privacy policy Manage newsletter preferences Unsubscribe

To ensure email delivery, add noreply@a.email.hbr.org to your address book, contacts, or safe sender list. Copyright © 2023 Harvard Business School Publishing, an affiliate of Harvard Business School. All rights reserved. Harvard Business Publishing 20 Guest St, Suite 700 Brighton, MA 02135