AI and Digitally Empowered Education
This year’s summit, themed AI and Digitally Empowered Education, will explore current case studies of AI in education and delve into the historical context of what is being undertaken. Bringing together experts in the fields of AI, education, employment, and ethics, we will consider the practical realities of AI-empowered education for students, educators, administrators, employers, and policy-makers.
Artificial intelligence as a practical reality has existed for almost 70 years, and since its inception, it has slowly begun touching more parts of modern life, in areas such as driver assistance, job applications, email filtering and fraud detection. In the Big Data era, universities have also utilized AI for student applications and candidate identification. The latest iteration, scaled generative AI, has sparked imagination for what education could be if powered by AI and by renewed efforts to create genuine personalized learning.
- EDS.ai: The role of AI and digital transformation in education
This panel will explore what institutions are currently doing with AI and gen-AI, its actual applications as a teaching tool, how these examples may develop further, and whether the pursuit of personalized learning—leading perhaps to personalized employment—is now possible.
- Industrial R/evolution: How should students prepare for AI and digital innovation
This panel will explore not only the immediate skills students will need in the (near-) future of education, but the softer concepts and ideas they will need in navigating university and employer in days to come.
- The automated career
This panel will explore how employers view AI and those “trained” it in vs. those who are not—to see what the real deal and the real difference is when they see these tools being used at work and what it means in terms of future success at “the firm.”
- Recruitment and machine learning
This panel will explore how institutions are using AI for recruitment purposes and consider what further adaptions could be possible in refining usage further. Thus, should AI help us define personalized curricula or should people help define how AI is used in existing curricula…or both?
- Research, trust and digital innovation
This panel will explore what is being down to rebuild and to retain trust and fidelity in research, the ethical dilemmas of deep fakes, and how validation can help us move forward faster and with improved reputation, competence, and confidence in the Age of AI.