IBM and IEEE Are Running a Free Responsible-AI Webinar for University Students
The session covers how AI works, what can go wrong, and what students can do right now to push for fairer systems.
Key points
- IBM and IEEE are offering a free, interactive webinar on responsible AI aimed at higher-education students.
- The session covers AI types, ethical concerns, and IBM's own approach to building AI more carefully.
- Attendees will apply that framework to IBM Bob, an AI agent that manages software development tasks.
- Students can join live polls and a Q&A; IEEE chapter members are specifically encouraged to attend.
IBM is teaming up with IEEE Spectrum AI to offer university students a free live webinar on responsible artificial intelligence, meaning AI designed and used in ways that are fair and transparent.
The session starts from scratch: it explains what the different types of AI actually are, then moves into the real concerns around bias and accountability. IBM researchers will then walk through how the company itself tries to address those problems when building products.
The hands-on part is what makes this worth attending. Participants will apply IBM's responsible-AI thinking to a working system called IBM Bob, a software development life cycle agent. An agent here is AI software that can plan and carry out a sequence of tasks on its own, helping engineers manage the stages of building a software product. Watching an ethical framework land on a concrete, running system is more useful than hearing about principles in the abstract. AI2Day has covered IBM's agent and model work several times since July, including IBM's Granite 4.2 reasoning models and its zero-shot forecasting release, so this webinar lands in a busy stretch of IBM output.
Students need their phones ready: the session uses live polling throughout, with a dedicated Q&A window at the end.
IEEE chapter members, groups of engineering and technology students organised through the global IEEE professional society, are called out directly as a target audience. The framing suggests the organisers want attendees to carry what they learn back into their campus communities.
Registration is free.
What does this mean for students thinking about an AI career?
Learning responsible-AI principles before graduating puts students ahead of a fast-moving hiring conversation. Most major tech employers have published internal AI ethics guidelines in the past two years, and recruiters increasingly ask candidates how they would handle bias or fairness problems in a model.
Applying those ideas to an actual agent like IBM Bob gives students a concrete example worth discussing in an interview. That's the honest verdict from someone on this beat: responsible-AI sessions go soft when they stay theoretical, and a live agent fixes that.
Common questions
Who is this webinar for?
It is aimed at university students, particularly those in IEEE student chapters, but free registration appears open to any higher-education student interested in AI ethics.
Do I need a technical background to follow it?
No. The session explains the different types of AI from the ground up, so no prior knowledge of machine learning or software engineering is required.
