WHAT WENG WRONG? AI CASE
Are you curious to discover what can go wrong in an Artificial Intelligence project and how a mistake can become a valuable learning opportunity?
Join WHAT WENT WRONG? AI Case, an interactive event designed to challenge you through real business cases related to Artificial Intelligence, machine learning and digital innovation, presented directly by companies and professionals.
During the event, you will work on concrete challenges connected, for example, to the development and use of AI models, data quality, algorithmic bias, automation, decision-making processes, human-AI interaction, ethical implications, reliability of outputs and the integration of AI solutions in business and industrial contexts.
Each company will present a real problem faced during a project and invite you to analyse the context, identify what went wrong and choose the solution you consider most appropriate between two possible alternatives.
You will be able to submit your choice in real time through a live poll and compare your reasoning with that of other students. Immediately afterwards, the company will explain how the problem was actually solved, sharing the decisions taken, the mistakes made and the main lessons learned.
The event will end with a Q&A session, where you will have the opportunity to explore the cases in more depth, ask questions directly to professionals and better understand the skills required to work on projects involving Artificial Intelligence and emerging digital technologies.
A dynamic and engaging format to train your problem-solving, critical thinking and decision-making skills, while getting closer to the real challenges of AI-driven innovation and the job market.
Please note that the event will be held in English and is part of the Career Service Award.
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All events are open exclusively to students and graduates of Politecnico di Milano.
The list of participating companies will be announced soon.
Event details
27 November 2026
14:30 - 16:30 Local time
Online
English
REGISTRATIONS OPEN
Free access
Target disciplinary areas:
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ELECTRONICS ENGINEERING
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GEOINFORMATICS ENGINEERING
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CYBER RISK STRATEGY AND GOVERNANCE
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DESIGN & ENGINEERING
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DIGITAL AND INTERACTION DESIGN
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ENGINEERING PHYSICS
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MATHEMATICAL ENGINEERING
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TELECOMMUNICATION ENGINEERING
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PRODUCT SERVICE SYSTEM DESIGN
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MUSIC AND ACOUSTIC ENGINEERING
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COMPUTER SCIENCE AND ENGINEERING
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MANAGEMENT ENGINEERING
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ELECTRICAL ENGINEERING

