Managing with artificial intelligence (AI) refers to humans' interaction with algorithms performing managerial tasks in organizations. Two literatures exploring this interaction鈥攈uman-AI collaboration (HAIC) an
格勒高商MSc课程 | MSc Managing with Data and Artificial Intelligence 数据与人工智能管理硕士 卓尔教育-世界名校硕士留学直通项目 成功留学,留学成功 到2030年,人工智能解决方案市场的预计价值将达到2万亿美元,其中有76%的公司计划增加投资,50%则计划进行大规模部署。但是,欧盟的一项研究指出,技术管理技能的不足正...
The AI-Nuclear Nexus: New CNAS Report on Managing Artificial Intelligence and Nuclear Weapons amid U.S. Rivalry with China and Russia Washington, February 13, 2025 — Following Vice President JD Vance’s speech at the Paris Artificial Intelligence Action Summit and ahead of the ...
2. Artificial intelligence: Functions and business applications 3. Managing oi with AI 4. Implications for research and practice CRediT authorship contribution statement Declaration of Competing Interest Data availability References VitaeShow full outline Cited by (40) Figures (2) Tables (6) TABLE 1...
We believe Artificial Intelligence has the power to transform business and to help our clients and our people harness that potential in an ethical, legal, and sustainable way, we’ve developed these guidelines. Read our RAI Principles What changes should organizations be anticipating i...
artificial intelligence; management; human resources; feeling intelligence; human-machine collaboration; job design; hiring; 机译:人工智能;管理;人力资源;感觉情报;人机合作;就业设计;招聘; 入库时间 2022-08-18 04:30:51 相似文献 外文文献 中文文献 专利 1. The Feeling Economy: Managing in the Ne...
Managing the Future – Part One: Artificial Intelligence It is hard to deal with the future if you don't establish some game rules to help you even in a thick fog. March 17, 2019 – Happy St. Patrick’s Day to all who celebrate the “greening” of the beer, the Chicago River, and...
Beyond data centers,artificial intelligence (AI)andedge computingare joining forces to drive a new wave of digital innovation. Edge computing has been developing for years as a data center extension that moves processing closer to the source of data for faster response times and, often, improve...
Many organizations are generating significant value with artificial intelligence (AI) and recognize that this technology will shape the future. At the same time, organizations are discovering that AI could expose them to a fast-changing universe of risks and ethical pitfalls that regulators signal ...
Testimony of Jordan Crenshaw before the U.S. House Research and Technology Subcommittee's hearing on “Trustworthy AI: Managing the Risks of Artificial Intelligence"