Expert Diploma in Responsible Management of Artificial Intelligence

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Expert Diploma in Responsible Management of Artificial Intelligence
Gestión responsable de la Inteligencia Artificial
Introducció

The program is organized into 5 modules and combines theoretical sessions with practical workshops and analysis of real cases, which will build learning directly linked to the professional transfer.

Together with the activities, discussion spaces, and documentation specific to each unit, available on the eCampus, a wide range of teaching materials will be made available to students to facilitate the general understanding, the execution of the tasks of the various units of the program and the acquisition of key competences.

The program also includes an Individual Action Plan (IAP), where each participant's area of interest will be addressed through individual mentoring sessions.

Objectives

The programme's content is designed to establish an ecosystem and a culture of responsible innovation, addressing crucial aspects such as European regulation of AI, fundamental rights, the challenge of design biases and a wide range of ethical issues involved in technological development.

The training includes case studies and tools for implementing the SDGs through AI, ensuring that technological solutions are not only effective and commercially viable, but also promote social and environmental well-being, creating added value for the customer, the company and generating a positive impact on society.

The course also aims to facilitate the operationalisation of decision-making processes, ensuring efficiency, practicality and smooth execution. It will enable the establishment of performance indicators and specific metrics to measure the effectiveness and ethics of AI-related decisions, based on sound data, ethical evaluations and multi-stakeholder feedback.

The contents will be divided into 5 modules:

Mòduls
Matèries
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Module 1. Understanding the context: the challenges of AI
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Basic definitions of AI. Origins and current situation.
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Biases in AI. Discrimination in data and algorithmic justice.
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Human factors and supervision of automation systems.
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Tools for dynamic assessment and inspection of AI systems.
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Risk mitigation. Risk management applied to enterprises.
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Module 2. Awareness raising: from fundamental rights to SDGs
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Fundamental rights. Positive and negative impacts of AI.
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Sustainable Development Goals. Positive and negative impacts of AI.
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Ethical, social, and legal aspects of AI. Principles of trustworthy AI.
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Module 3. Strategic and legal approach to AI
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Fundamental concepts. Risk-based view and classification of systems.
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Applicability of regulation.
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Classification by type of system. Prohibited, high-risk, and other systems.
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General purpose AI models.
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Transparency requirements.
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Sanctions and enforcement strategies.
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Module 4. AI Management Tools
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Documentation and security tools.
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Impact assessment with models and practical systems.
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Technical tools: bias audits, RAI control panel, model workflow integration structures.
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RAI applicability in the business sector: responsible marketing and communication, data science for sustainability in AI, economic and social analysis of AI in business.
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Module 5. Case studies: using AI for the Common Good
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Health: social welfare, mental health.
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Finance: financial education, gender equity.
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Environment: energy efficiency, environmental control.
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AI applications in the public sector.
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Individual Action Plan (IAP).
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Note on the study plan
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The information contained in these pages is for informational purposes only and may be subject to change. The definitive guide will be available to students in the virtual space before the start of the course.
Titulació que s'obté

Upon successful completion of the programme, students will obtain an Expert Diploma in Responsible Management of Artificial Intelligence issued by Pompeu Fabra University.

To obtain the Expert Diploma you must have attended 80% of the classes and passed the corresponding evaluations.

* Diploma pending approval by the UPF.

Qui pot aplicar

To obtain the Diploma in Responsible Management of Artificial Intelligence, you must have a university degree or equivalent.

Introducció

Our admission process consists of a rigorous evaluation of each application in order to preserve the quality of the group, as well as the training, experience and work capacity of all students.

Descripció llarga (part visible)

Eurecat is one of the largest applied research and technology transfer organisations in Southern Europe. Among its many areas of specialisation, its work in applied artificial intelligence and its leadership in pioneering projects to solve specific industry challenges stand out. Eurecat provides companies and organisations with advanced technological solutions to improve their products, processes and business models. 

Descripció llarga (mostrar més)

The UPF-BSM has designed the Expert in Responsible Management of Artificial Intelligence Diploma for managers of companies and organisations in all sectors who wish to adapt their strategy and governance to the paradigm of social impact and responsible AI, considering that no sector will be left out of this new technological paradigm.

Per què triar aquest programa
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Train in an accredited school
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Train in a school accredited by EQUIS, an international distinction that guarantees the quality of our institution and makes us the first management school linked to a public university with this accreditation in our country.

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Learn from the experts in Artificial Intelligence
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The academic team of this program is formed by professionals and experts who have extensive research and professional experience related to new technologies and develop their work in this sector, in addition to being dedicated to training and teaching in the university environment. 

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Methodology
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The program combines theoretical sessions with practical workshops and the analysis of real cases. Opportunities for discussion and networking are provided, allowing participants to learn from both experts and peers. The program also includes an Individual Action Plan (IAP), where each participant's area of interest will be worked on in a personalized way through individual mentoring sessions. 

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  • Executives of organisations using or planning to integrate AI-driven business models.
  • Leaders of innovation teams, product design and R&D executives.
  • Leaders and executives of incubators, accelerators and innovation labs.
  • AI business ethics consultants, AI social impact assessment advisors and AI managers in organisations.
  • ESG, Legal, Compliance, Communication and Risk Management leaders.

*No particular technical knowledge in AI-related subjects is required for the diploma. The topics taught will complement the participants' knowledge of ethical, social, regulatory, and environmental aspects related to the use of AI.

Introducció

The teaching staff of the Expert Diploma in Responsible Management of Artificial Intelligence is made up of researchers who have extensive experience in teaching at university level as well as an outstanding professional career in the field of technologies. Get to know them.

Carrussel metodologia
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Tools
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A variety of materials and formats will make your learning experience more engaging: in-person classes, case studies, and downloadable resources. Designed and updated by professionals and experts in the family business sector, they provide you with the latest knowledge, skills, and tools to take your career to the next level.

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Active and Collaborative Learning
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Participation and discussion among peers and professors are essential to the collaborative learning process. Debate will be encouraged in class.

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Personalized Support
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You will have the guidance of a tutor, as well as the support of a program manager for course follow-up, administrative procedures, and access to services.

Introducció

At UPF Barcelona School of Management, we are committed to a dynamic education model aimed at placing the participant at the center of the process, making them the protagonist of their professional learning.

The course will combine theory and practice in a participatory and interactive way. The methodology may vary depending on the subject, the professor, and the content.

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Descripció curta

The UPF Barcelona School of Management is committed to the creation and application of more ethical and socially responsible technologies by integrating multidisciplinary perspectives and promoting best practices in the business and academic ecosystem. The aim is to promote business innovation in the service of the common good and social justice, and to provide scientifically proven tools that focus on the need for responsible technology development in business models.

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Collaborating faculty
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  • Gabriel Anzaldi
    Director of Scientific and Technological Development at Eurecat.
  • Mihnea Tufis
    Leader of the Eurecat Research and Development Group.
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How to apply?
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To apply for admission to this programme, the student will have to read and accept the General Terms and Conditions, once the application for admission has been initiated through the following form.

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Application for Admission
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Applications for admission will be assessed once the following steps have been completed:

  • Fill in the online application form.
  • Accept the General Terms and Conditions, through the online platform e-Secretaria to which we will give you access.
  • Send the following required documentation through this platform:
    • ID card or passport
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    • Curriculum
    • Copy of university degree
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Admission
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  • The Admissions Committee will select candidates using an interview.
  • The admission decision will be notified in writing.

 

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Enrolment
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  • Enrolment must be completed within 15 days of admission.
  • To guarantee a place, it is essential to pay the reservation fee and formalize enrolment.

 

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Complete admission
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To complete the admission process after registration, please contact Sílvia Ferrer at silvia.ferrer@eurecat.org

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Expert Diploma in Responsible Management of Artificial Intelligence

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Duración
3.00Months
Preu
4000.00€
Créditos
15.00ECTS
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Experto en Gestión Responsable de la IA
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