Post by account_disabled on Dec 28, 2023 7:16:21 GMT
Human input is particularly important in situations where complex decisions need to be made quickly or where the signal is weak (for example, when assessing a supplier's trustworthiness or determining expectations for a strategic agreement). For these reasons, the system relies on both human and AI-driven elements. About the author is a research scientist at MIT and director of its Digital Supply Chain Transformation Research Initiative. is Professor of Operations and Technology Management at the Madrid Business School and ó is Professor of Personnel Management. References, and, Insights from machine stopping to better.
Understanding rational assumptions in algorithmic decision-making and its impact on organizations, Academy of Management Review, Vol. (Year and month): . , and, do you have it? Why it’s time to put digital transformation into action, Supply Chain Management Review, 2019. Show all references Tagged: Artificial Intelligence Cognitive Technologies Job Function Email List Collaborative Decision-Making Intelligent Machines Reposted from: More like this Operational Security for Artificial Intelligence: Chevron Is Your Organization Investing Enough in Responsible Artificial Intelligence? Our data suggests there may not be an upgrade to strategic data sharing Current thorny talent and AI challenges: Experts speak You must be logged in to post a comment. First time here? Sign up for a free account: comment on articles and access more articles. Weekly Review This week’s selection of must-reads for managing in the digital age, curated by MIT editors.
MIT Editor Year Month Day Reading Time: Minutes Topics Leadership Marketing Workplace, Teams, and Culture Disruption Leadership Market Strategy Collaboration Culture Weekly Review This week’s pick is a roundup of important articles for managers in the digital age, including from MIT Content for Long Management Review and other publications around the world, curated by MIT editors. More from this series Subscribe Share What to read next Top 10 articles of the year Two decades of open innovation Add cybersecurity expertise to your boardroom What questions managers should ask about AI models and data sets Here’s what they win Way We’re seeing a new type of disruptor emerge in the economy: the experience disruptor.
Understanding rational assumptions in algorithmic decision-making and its impact on organizations, Academy of Management Review, Vol. (Year and month): . , and, do you have it? Why it’s time to put digital transformation into action, Supply Chain Management Review, 2019. Show all references Tagged: Artificial Intelligence Cognitive Technologies Job Function Email List Collaborative Decision-Making Intelligent Machines Reposted from: More like this Operational Security for Artificial Intelligence: Chevron Is Your Organization Investing Enough in Responsible Artificial Intelligence? Our data suggests there may not be an upgrade to strategic data sharing Current thorny talent and AI challenges: Experts speak You must be logged in to post a comment. First time here? Sign up for a free account: comment on articles and access more articles. Weekly Review This week’s selection of must-reads for managing in the digital age, curated by MIT editors.
MIT Editor Year Month Day Reading Time: Minutes Topics Leadership Marketing Workplace, Teams, and Culture Disruption Leadership Market Strategy Collaboration Culture Weekly Review This week’s pick is a roundup of important articles for managers in the digital age, including from MIT Content for Long Management Review and other publications around the world, curated by MIT editors. More from this series Subscribe Share What to read next Top 10 articles of the year Two decades of open innovation Add cybersecurity expertise to your boardroom What questions managers should ask about AI models and data sets Here’s what they win Way We’re seeing a new type of disruptor emerge in the economy: the experience disruptor.