David De Cremer, author and Dunton Family Dean at the D’Amore-McKim School of Business, believes that in the age of artificial intelligence, the most successful business leaders will be those who prioritize human values over technological ambition. For De Cremer, the question is no longer whether to use AI, but how to use it responsibly—and above all, how to ensure that AI remains a tool that serves humanity.
He argues that many organizations are currently dazzled by AI's capabilities, often rushing into implementation without fully understanding its impact on people, processes, and company culture. This technology-first mindset, he warns, leads to alienation, job displacement, and a loss of trust among employees. In contrast, a human-centered approach views AI not as a replacement for people but as a partner that enhances human judgment, creativity, and well-being.
De Cremer emphasizes that leaders must take responsibility for guiding this integration. AI should not be treated as a neutral tool but as one that reflects the biases, values, and goals of those who design and deploy it. When used without oversight, AI can amplify existing inequalities and inefficiencies. When used with care and intention, it can unlock unprecedented value for organizations and societies alike.
He stresses that ethical frameworks must be built into AI strategies from the beginning. This means involving cross-functional teams, including ethicists, sociologists, and front-line employees in AI development conversations. Leaders should foster a culture where technology serves collective goals rather than short-term profits alone.
For De Cremer, communication is equally vital. Leaders must be transparent about how AI is used, what data it processes, and what decisions it informs. This transparency is essential to maintain employee engagement and public trust. It also ensures that AI adoption supports rather than undermines organizational purpose.
Ultimately, De Cremer’s vision is not anti-AI—it is pro-human. He sees the potential of AI to drive innovation and solve global problems, but only if it is embedded within systems that respect dignity, promote inclusion, and prioritize long-term human benefit. Leadership in the AI era, he concludes, is not about mastering machines—it’s about understanding and uplifting people.