UE Engineering Augmented by AI - 4GUC1701

Goal(s)

You, engineering students, future pillars of tomorrow's industries, you witness today that access to AI is so free and open, but also so much criticized and subject to caution that you sometimes don't know what to do or think : is it a magic tool granting you a perfect practical work report, or a great way to understand a fuzzy area of a course ? Is it a technique for cheating on exams or a cornucopia giving knowledge of all kinds ? Is it an ultimate intelligence gathering solution or a strangely clientelist interface ? And finally is it a reliable way to outsource work or does it present terrible risks of error ?
Some are against it, some are for it, some don't know and "wait and see" ...

To help you master what becomes unavoidable today (a strong indicator is the presence of AI in engineering job postings, often leaving candidates bewildered), we propose this training program through which you will find answers to your questions, and also guide to "proper use" and above all real-life scenarios to make the learning personal ans profound. These real-life scenarios and the comparison of the result of each party for the same question is very, very educational !

Whether you are totally against, totally for, neither for nor against (or the opposite), come and share these discussions and contribute to enriching them.

Responsible(s)

Rodolphe ALLERA

Content(s)

*Value analysis confronted with philosophy (industrial and human issues) : to create a step back, the message is not "AI is bad" but "let's take a look around the issue, and think about the different aspects".

*Effects of different ways of using AI (ICL and IDP together in this course provide a broader scope of the fields covered)
--intelligence gathering
--direct outsourcing of data processing (sorting, summarizing, searching for rare data points, diagnostics, expert analysis, etc.)
--direct outsourcing of creation (and the problem of "observer" systems used as "inventors" !)
--direct outsourcing of optimization (and the problem of optimization criteria)

*Limitations, reliability, precautions, evaluations
--comparisons of AI vs non-AI !
--design of experiments to determine working methods
--self-evaluation of AI: this is one of the extraordinary aspects of AI, which can contradict or evaluate itself since it doesn't know (= isn't aware of) what it's saying, or conversely, depending on how it is "prompted," it seeks (by inventing arguments if necessary) to always find meaning in the answers it provides in order to activate the reward circuit in its client !

*Analysis of the actual gains in terms of time and cost

*Ecological and energy aspects established with an engineering perspective

*Determination of the scope of action between humans and AI, and especially the variability of their interaction.

*Imagining the future of AI and its future applications, since we are still only at the beginning.

*...and other points after potential collaborative work and further reflection...

We know you're eagerly anticipating all of this, and also that your future performance as engineers will depend on a natural yet structured and judicious use of AI. Join us in this course and enrich it through your participation !

Note: at this time the scope of the intervention team is not yet finalized, but the main trainer will be Rodolphe ALLERA, mechanical engineering consultant in industry, but also a philosopher, artist and passionate about training !

Test

Absenteeism will be taken into account in the evaluation and may result in penalties for students with unexcused absences.

The committee may decide to allow a student to advance to the next year, subject to deferred validation of this course unit. This decision is made on an exceptional basis; the committee has the final say regarding each student.

Calendar

The course exists in the following branches:

• Curriculum - Engineer student Master SCM - Semester 8
• Curriculum - Engineer student Master PD - Semester 8

Additional Information

Course ID : 4GUC1701
Course language(s):

You can find this course among all other courses.