14 de octubre al 15 de noviembre
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AIM4Mobility: AI Challenges and Ethical Considerations in Urban Mobility

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This course offers a practical introduction to ethical principles in AI for urban mobility, covering human oversight, accountability, data governance, and fairness. Learners will explore regulations and guidelines to assess AI use in line with legal and ethical standards.
PROFESSIONAL TRAINING COURSE

With innovation comes responsibility.

Artificial Intelligence is rapidly reshaping the way cities move—optimizing transport systems, improving safety, and enabling smarter infrastructure. But, with innovation comes responsibility.

"AI Challenges and Ethical Considerations in Urban Mobility" is a self-paced online course designed to help professionals navigate the ethical, legal, and societal implications of applying AI in urban mobility.
From human oversight to data governance and fairness, you’ll learn how to critically assess and implement AI systems aligned with public interest and regulatory frameworks.

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PARTICIPANTS PROFILE

MASTERCOM addresses all professionals of public and private companies, who feel committed to sustainability and are motivated to transform the commuting patterns at their companies.

This could be:
     Managers of sustainability and Corporate Social Responsibility (CSR)
     Fleet managers
     Human recourses professionals
     Happy management professionals
    Benefits and well-being professionals

Training Format

Self-paced course.

Duration

8 hours (considering theoretical and practical tasks)

Language

English

Certificate of completion

Upon course compeltion, each participant will recieve a diploma from the EIT Urban Mobility.

Who is the course addressed to?

AIM4Mobility is ideal for urban planners, transportation engineers, data scientists, policymakers and professionals interested in applying AI and ML to mobility challenges.

FORMAT OF THE COURSE

The AIM4Mobility training offers a self-paced, asynchronous format.

Online and asynchronous content

The MOOC course is delivered in a self-paced, asynchronous format, allowing learners to engage with the material at their convenience.
It comprises a structured sequence of video lectures, complemented by additional support content such as readings or reference materials to deepen understanding.
Learners are periodically assessed through a series of quizzes integrated throughout the course to reinforce key concepts.
The course culminates in a final evaluation designed to test overall comprehension and mastery of the subject matter.

What will the participants get from the course

By the end of this course, learners will be able to:

Identify 

key ethical principles relevant to AI use in urban mobility, including fairness, transparency, and human oversight;

Interpret 

how legal and policy frameworks apply to mobility-focused AI systems.

Understand 

the potential risks and unintended consequences of AI systems in regulatory or operational contexts;
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Online Course

MASTERCOM has busy professionals in mind!

A central component of the trainingis a four-module, self-pacedonline course.
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Live sessions

Knowledge exchange is key! 

Regular live sessions with experts and educators create a personal and pleasant space for questions and direct exchange. 
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On-Site Event in Barcelona

Focussing REAL-LIFE success stories!

The final event in February 2024 in Barcelona will bring together leading experts from academia and industry, sharing real case success stories. 

MODULES

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CERTIFICATE OF COMPLETION

Once you complete the course, you'll have the opportunity to receive a certificate of completion signed by the course organizers, all of whom are recognized in the mobility industry.
This project is supported by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union. EIT Urban Mobility acts to accelerate positive change on mobility to make urban spaces more liveable. Learn more: eiturbanmobility.eu