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In an era of complex ethics algorithms and DEI/CSP/ESG checklists, simpler is better.
Before investing in products touting business insights from brain research, managers must understand how they fall short.
New data-efficient AI techniques can help when developers lack sufficient volumes of labeled training data.
As undervalued performers become more visible, they also gain more options to leave their employers.
Advice for leaders on successfully designing and implementing a matrix reporting structure in their organizations.
Once leaders address their company’s historical transgressions, they can work to create a more positive legacy.
Managers need more thoughtful and effective data collection practices to advance DEI in their organizations.
Companies must be prepared to respond strategically to state and federal policies that conflict with stakeholder values.
Building responsible AI systems starts with recognizing that technology solutions implicitly prioritize efficiency.
Supply chain risks have become nearly incalculable. Managing them requires a capabilities-driven mindset.