Q: How would you define Artificial Intelligence (AI)?
A: AI is a field of computer science that builds systems able to perceive, reason, and act in ways that resemble human intelligence. Unlike traditional software, AI adapts through data and algorithms, making it capable of tasks like language understanding, decision making, and pattern recognition.
Q: AI has existed for nearly 70 years. Why is it experiencing an impressive growth right now?
A: Growth today comes from three factors: powerful computing hardware like GPUs, access to massive datasets, and new algorithms such as deep learning. These together allow AI to move beyond theory and achieve superhuman results in narrow domains like image recognition and game strategy.
Q: Can you identify three domains or classes of problems where current AI models still face significant challenges?
A: AI struggles with common sense reasoning, since it cannot fully grasp background knowledge. It also lacks explainability, with many models acting as “black boxes.” Another challenge is generalization, as AI often fails when faced with data that differs slightly from what it was trained on.
Q: Can you name at least three application sectors where robots are widely used, and explain why they are employed in those sectors?
A: Robots are used in manufacturing for precision and nonstop production, in healthcare for surgery and rehabilitation where accuracy is critical, and in logistics for warehousing and delivery to improve speed, safety, and cost efficiency.
Q: Do you believe that the convergence of Artificial General Intelligence (AGI) and fully autonomous robotics is imminent and could potentially have a major impact on the world?
A: The convergence is not imminent, but research is advancing steadily. If achieved, AGI combined with robotics could transform industries, redefine labor, and raise major ethical and governance questions.