3 ECTS credits
75 h study time

Offer 2 with catalog number 8024162GNR for all students in the 2nd semester at a (G) Postgraduate - preliminary level.

Semester
2nd semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Taught in
English
Faculty
Faculty of Sciences and Bioengineering Sciences
Department
Computer Science
Educational team
An Jacobs (course titular)
Activities and contact hours
20 contact hours Lecture
15 contact hours Seminar, Exercises or Practicals
Course Content

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 
 
Additional info

 

 
Learning Outcomes

General Competences

  • understanding and enable to think critically of the multifaceted relationship between AI technologies, human behaviour, cultural dynamics and society. 
  • be able to engage in thoughtful discussions, explore solutions for addressing the challenges and maximizing the benefits of AI in various cultural contexts, make informed decisions, and consider the social consequences of AI technologies. 
 

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

  • Evaluation with a relative weight of 1 which comprises 100% of the final mark.

Additional info regarding evaluation

Additional information regarding evaluation (Engels): 

  • permanent     evaluation participation :25%     
  • summative     evaluation of individual presentation on use case: 50%      
  • summative     evaluation of discussion of other presentations as discussant: 25% 
 
Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Postgraduate Certificate AI for the Common Good: Default track