Postgraduaat AI for the Common Good

• Opleidingscheques
• Vlaams opleidingsverlof

Aantal studiepunten: 20

Eindbeoordeling voorzien: ja

Blended leren: nee

Mentoropleiding: nee

• Specifieke voorwaarden per opleidingsincentive

  Elke opleidingsincentive heeft zijn eigen specifieke voorwaarden om te bepalen of u recht heeft. Kijk na of u voldoet aan de voorwaarden van de opleidingsincentive waarvan u gebruik wil maken (Vlaams opleidingsverlof, Vlaams opleidingskrediet en opleidingscheques voor werknemers

• Opleidingscheques: beperkende voorwaarde opleidingsniveau

  Deze opleiding kan u betalen met een opleidingscheque. Bent u hooggeschoold (u behaalde een graduaats-, bachelor- of masterdiploma)? Dan kan dat enkel als u een ‘attest loopbaanbegeleiding’ heeft van maximaal 6 jaar oud. In dit attest verklaart een loopbaanbegeleider dat de opleiding noodzakelijk is voor de uitvoering van uw persoonlijk ontwikkelplan (POP).

• Introduction to AI | ODB-1003369-001 | 4 studiepunten

  This module gives a basic introduction to the concepts and principles of AI. It explains what AI is, why it is an important evolution, how it works conceptually, what the limits are, and potential. It is mainly aimed to remove common misconceptions, create a common ground and language between the participants and empower them with a framework of understanding for future learnings.

• Technology & data | ODB-1003369-002 | 3 studiepunten

  Module 2 examines the technical and data aspects of AI: how does it work? What are the different subdomains? What data should I collect? How to organise a proper data governance? What is the relation between software and hardware in AI? What is the impact on my technology stack? Who are the (cloud) service providers and what is the role of open-Source software?

• Governance and Organisational Aspects of AI | ODB-1003369-003 | 4 studiepunten

  This course looks at the impact on implementation and processes of AI: what organisational structures are needed to guarantee a trustworthy implementation of AI? How to monitor and evaluate AI (on the governance level)? How to increase the privacy and security characteristics of solutions? What are potential threats? What are the social, ethical and organisational considerations that need to be taken into account when implementing AI and how can you approach this in practice? What instruments exist to do this? What are the regulations, frameworks and standards? .

  The course will be divided in two parts.
  The first part presents the legal framework that applies to the use of AI systems, put in the broader regulatory framework that notably encompasses the protection of personal data. It will devote special attention to ongoing and upcoming developments at European Union level.
  The second part will address the social and organisational considerations that need to be addressed and the instruments and methodologies to monitor and evaluate the use of AI systems, looking at various case studies and research examples from the public and private sectors in Belgium and internationally.

• Artificial intelligence for sustainable and responsible innovation: people and culture | ODB-1003369-004 | 3 studiepunten

  This course introduces the different aspects related to the complex relation between AI-technologies, people, cultural dynamics, and society. Topics will be discussed and illustrated with real world examples, and with different hands-on workshops to support the critical reflection and discussion.

  Topics covered are:

  Historical Context of AI and Cultural Perspectives
  Human-Centric Approach
  Social, cultural and Psychological Impact and dynamics:
  Societal Implications of AI: locally and global
  Impact on workforce, Job Roles and Skill Development
  Impact on learning and skill development
  Cultural Sensitivity and Global Deployments
  Ethical Considerations and Responsible AI:
  in this module we will not focus in depth on privacy
  focus on trustworthiness, transparency, interpretability; diversity and inclusion (Bias, Fairness, equity); human oversight and autonomy in Human-Machine Collaboration:
  Future Trends/scenarios, speculations, and continuous socio-technical change
  Team composition, Change Management and Communication Strategies with AI implementation

• Economics and business aspects of Artificial Intelligence | ODB-1003369-005 | 3 studiepunten

  Understanding AI as part of the broader digital movement

  What is digital
  Digital economics and markets
  Strategy & organizational challenges raised by digital
  AI driven business models & strategy

  The 5 business models of AI
  AI Augmentation v. Substitution
  Deep dive on AI for Operational excellence
  AI & Platforms
  Adapting the organization for data & AI

  DELTTAP Model
  Make or Buy & dependency issues
  AI & the economy (competition, productivity, jobs, etc.)

• Case studies in responsible innovation with AI | ODB-1003369-006 | 3 studiepunten

  The student is obliged to write a case study, either within their own company (lifelong learners) or with an external partner (fresh graduates). The goal is for students to integrate all that they have learned and look at a holistic, interdisciplinary way at AI innovation.

  The students are asked to identify the opportunities of AI within their institution and create a roadmap that considers the maturity of the organisation, and assesses the potential Impact on ethics, legal, technical and governance structures (processes), business model, competitive position, people & training, data management, safety & security.