Presentation Summary
Artificial intelligence (AI) is rapidly transforming higher education, offering personalized learning, enhanced support, and streamlined operations. However, the ethical implications of AI in education, particularly concerning privacy, demand careful consideration. This presentation explores the promises and challenges of AI in higher education, focusing on ethical considerations and privacy preservation.
Drawing on Google's AI Principles and privacy-preserving technologies, I argue that responsible AI development and deployment are crucial for ensuring equitable and privacy-conscious educational experiences. I will examine the potential for algorithmic bias, the importance of data protection, and the need for transparency and student agency in AI systems.
This presentation offers practical recommendations and best practices for higher education institutions navigating the ethical complexities of AI. By prioritizing privacy by design, fostering collaboration between stakeholders, and establishing clear ethical guidelines, universities can harness the power of AI while safeguarding student privacy and promoting equitable outcomes.
This topic is critical for THETA attendees because it addresses the responsible implementation of emerging technologies within higher education. The presentation provides valuable insights for IT professionals, librarians, and educators seeking to leverage AI while upholding ethical standards and protecting student data.
Meet the Speaker
Stefan Avgoustakis
Security Practice Lead, Google Cloud, Australia & New Zealand, Google Cloud
Stefan Avgoustakis is the Security Practice Lead for Google Cloud in Australia and New Zealand. With a background in consulting and technology advisory roles at companies like Cisco and AWS, he guides organizations in adopting cloud solutions, focusing on security, identity, and compliance. As part of the Customer Engineering team, he articulates security strategies for customers and delivers guidance on cybersecurity investments based on business strategy and risk assessment.
