
Speaker "Tirumala Rao Chimpiri" Details Back


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Name
Tirumala Rao Chimpiri
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Company
Stony Brook University
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Designation
Senior ERP Specialist
Topic
Ethical Challenges and responsible use of AI in Higher Education.
Abstract
As artificial intelligence continues to evolve, it is crucial to consider the ethical and social implications associated with its adoption. This talk will examine the benefits of using generative AI tools in the classroom, as well as the potential challenges and ethical considerations—including bias, fairness, transparency, privacy, security, employability, and the shaping of future societies. The use of AI in higher education raises significant ethical concerns that must be addressed. For example, biased algorithms pose a significant threat, particularly if employed in admissions or grading processes, as they could have devastating effects on students. It is important that higher education institutions collaborate to tackle these challenges, ensuring the responsible deployment of AI while maximizing its benefits. We will discuss examples of acceptable AI use, guiding principles, and policies to address ethical concerns effectively. By integrating ethics into every phase of AI development and responsible use allows higher education institutions to not only safeguard their students but also gain a competitive edge and establish new industry benchmarks for responsible AI innovation.
Who is this presentation for?
The audience will gain insight into the benefits of generative AI for various groups in higher education, as well as the ethical challenges associated with its implementation. They will also explore the obstacles to AI adoption, acceptable AI usage, and the guiding principles and policies needed to address these issues.
Prerequisite knowledge:
Artificial Intelligence
What you'll learn?
The audience will gain insight into the benefits of generative AI for various groups in higher education, as well as the ethical challenges associated with its implementation. They will also explore the obstacles to AI adoption, acceptable AI usage, and the guiding principles and policies needed to address these issues.