The standard approach to responsible AI is fundamentally broken. In the age of generative AI, it’s too slow, too vague, and ...

Many managers are criticized for showing leniency in performance reviews for low performers. But new research finds that may ...

When a leader is labeled as “too aggressive,” “too controlling,” or “not strategic enough,” the assumption is usually that their behavior needs to change. But a narrow focus on the behavior—without ...

As organizations experiment with placing AI agents on org charts as “employees,” new research shows this framing has unintended consequences. In a large-scale experiment, anthropomorphizing AI reduced ...

As AI accelerates product development and expands marketing’s responsibilities, most marketing organizations are struggling ...

These skills, along with human traits such as teaming, creativity, and empathy, can determine how organizations make ...

In the AI era, cyber attacks are more complex, and many companies are unprepared for how quickly the threat landscape is ...

When a leader creates friction, organizations default to a single explanation: the leader needs to change. In reality, that ...

Fast-growing companies inevitably hit a decision-making breaking point. What begins as founder-led, informal control ...

In the past two years, the professional services industry has spent billions of dollars on AI. The return on investment for most organizations remains elusive. Leaders are frustrated. Boards are ...

AI adoption on teams often fails because of how people experience it. If you want your team to embrace new tools, you need more than a strategy—you need empathetic leadership that understands concerns ...

The partnership-driven model is the connection enterprises need to act intelligently within real-world parameters, ...