AI Technology in Management

1.5 Credits · Level: Undergraduate

The world of work is being transformed by technology, data analytics, and by the changing expectations of the workforce. Just in the last couple of years the working environment has experienced the systemic shock of a global pandemic and the increasing prevalence of remote or hybrid working, as well as a potential tipping point in the applied use of artificial intelligence with the launch of Open AI’s ChatGPT. It is hard to imagine us reverting to the pre-existing “normal” after such developments. On the contrary, business leaders and policymakers everywhere are now asking fundamental questions about the relationship between humans, machines, and work. They are asking how can we make effective use of new tools, capabilities, and insights, to enhance productivity and performance without wrecking the labor economy, depersonalizing work, and diminishing people’s lives? Business leaders are also asking a series of increasingly specific questions about how to make critical business judgments and decisions in the context of artificial intelligence and analytical algorithms – and about the implications for enterprise management and organizational design. Is there a happy medium between algorithms and human insights? Can humans and machines indeed collaborate in ways that make them both more effective – sometimes referred to as the “Super minds” capability? At the same time, policy makers and thought-leaders are exploring the potential impact of these developments on society – on employees, consumers, and individual human beings. Can we respond constructively to the current and future disruption of traditional working norms and expectations? Can we ensure that the reality of work in the future is more compelling, even more noble, than the one we inherited. We will cover topics including: • Generative AI and Its Implications • Human-Machine Balance • Collaborative Productivity • The Tech-Infused Workplace • Ethical Doubts and Uncertainties • Societal Opportunities and Risks This course aims to examine in depth how the modern scientific, technology-enabled process might be used to design, structure, and support productive work. Our aim is to help future managers and leaders to become fluent about AI and Technology advancements and how they relate to the challenges and opportunities in management.