For graduates entering the field of computer science,‌ understanding and adapting to this paradigm shift is essential for staying relevant in the tech industry.‌
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IEEE Computer Society: Career Accelerator

MARCH 2025

Generative AI

"Generative AI (GenAI) refers to AI systems that can create new content in the form of text, or multimedia, when given simple natural language instructions (prompts). These systems are complex machine learning (ML) models, often neural networks, that are trained on vast amounts of openly available web data. This forms the fundamental component of generative AI, the Large Language Model (LLM)."


Source: Guardrails and Governance: Navigating the Complexities of Generative AI in Enterprise Operations

1

Navigating the Era of Generative AI: Evolution of Computer Science and Career Paths for Fresh Graduates

For graduates entering the field of computer science, understanding and adapting to this paradigm shift is essential for staying relevant in the tech industry.

2

Guardrails and Governance: Navigating the Complexities of Generative AI in Enterprise Operations

The integration of LLMs comes with pervasive concerns regarding safety, privacy, ethics, and proper governance mechanisms.

3

Legal Aspects for Software Developers Interested in Generative AI Applications

Recent successes in generative artificial intelligence have led to new technologies capable of generating high-quality content. This article summarizes key aspects regarding data protection and licenses that every developer working on products based on GenAI needs to be aware of to avoid legal exposure.

Videos

What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata

What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata

The Turing Lectures: The future
of generative AI

The Turing Lectures: The future of generative AI

Additional Resources

Call for Proposals: IEEE CS Enterprise Generative AI Summit 2025

The IEEE CS Enterprise Generative AI Summit 2025 is your premier opportunity to explore cutting-edge advancements, foster collaboration with industry leaders, and shape the future of Generative AI in enterprises.


Call for Submissions – Opportunity to Share Your Expertise!


We invite industry professionals and innovators to submit their proposals for:

  • Presentations (20 – 30 minutes) – Share insights, case studies, and innovative enterprise GenAI applications.

  • Workshops (1-2 hours) – Deliver hands-on sessions or technical deep dives.

  • Panel Discussions – Organize a panel and lead thought-provoking discussions on GenAI and its application challenges

Featured Jobs in our Career Center

Lecturer in Business Analytics or Innovation, Technology, and Operations at the Rady School of Management, University of California San Diego


Open-rank faculty position in Fintech and Computer Science at The Hong Kong University of Science and Technology


Control Systems Engineer at Chelan Public Utility District in Wenatchee, Washington


Full-time Assistant/Associate/ Full Professors at Chang Gung University

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