With the growing use of artificial intelligence in workplaces, questions about its responsible application are becoming more common. Arun Rai, a long-time scholar in digital innovation, addressed these concerns during the University of Georgia’s annual Ethics Week Lecture on November 7.
Rai is a Regents’ Professor and holds the Howard S. Starks Distinguished Chair at Georgia State University’s J. Mack Robinson College of Business. He also co-founded and directs the Center for Digital Innovation at Robinson College, which focuses on research and collaboration between industry and universities.
His current research examines how artificial intelligence can be used responsibly in future work environments, especially regarding jobs, skills, human–AI collaboration, and fairness. Rai highlighted the importance of balancing risks with advantages when integrating AI into organizations.
“What does it mean to establish a sensible system and work architecture around that, so you mitigate the risks while harnessing the advantages? I want to acknowledge that I’m presenting the downsides and the challenges, the risks, while recognizing the advantages,” Rai said.
He described three main types of AI: predictive AI (which forecasts outcomes but may reinforce biases), generative AI (which creates content but can produce what he called “confident hallucinations”), and agentic AI (which executes tasks but may exploit loopholes leading to errors).
Rai discussed paradoxes involved in using AI responsibly. One example is economic efficiency versus human elevation. He argued that automation should free people from repetitive tasks so they can focus on more complex work: “My point is that it’s not either/or. It’s a coexistence,” he said. “Automation frees us toward pursuing other paths, which will allow us to work effectively with AI.”
He outlined three roles humans can play when working with AI: architects who design systems; strategists who apply judgment to interpret outputs; and guardians who provide ethical oversight.
“If you want to scale it beyond any kind of experimental sandbox, these things become very crucial,” Rai said. “This is not about running a successful experiment in a sandbox. You need a solid architecture. You need strategic judgment and interpretation of outputs. And you need a guardrail.”
Other ethical issues mentioned by Rai include accuracy versus fairness, autonomy versus control, personalization versus privacy, economic efficiency versus social stability, and open innovation versus intellectual property.
“As universities, we have an ethical obligation … how do we train our students to have the right skills so that they can actually become architects and strategists and guardians of these technologies,” he said.
The Ethics Week Lecture is part of Ethics Awareness Week at UGA—a period designated by the University System of Georgia across all its institutions to emphasize shared values such as integrity, excellence, accountability, and respect. The event supports UGA’s ongoing efforts to promote an ethical culture on campus and raise awareness about available ethics resources.
