Course Name: Towards an Ethical Digital Society: From Theory to Practice

Course abstract

Towards an ethical digital society: from theory to practice presents a brief theoretical and practical toolkit for addressing some of the above questions in the context of technology design and implementation. We examine three kinds of technologies through a multidimensional lens of ethics: Artificial Intelligence, Digital Data and Digital Infrastructures. We look at these technologies as complex sociotechnical assemblages consisting of diverse actors, institutions and domains of practices and point out how different ethical considerations are relevant for each of these sociotechnical assemblages. The objective of the course is to lay out a framework that helps the participants ask pertinent ethical questions that would inform the design and implementations of such technologies.


Course Instructor

Media Object

Prof. Bidisha Chaudhuri

Bidisha Chaudhuri is an Assistant Professor at the International Institute of Information Technology Bangalore (IIITB).She has completed her PhD from the South Asia Institute at the Heidelberg University, Germany. Her research interest includes e-Governance, Public Policy reform, Gender and Development, South Asian politics, Information Communication Technology (ICT) for Development. She teaches undergraduate and graduate courses on social theories and relationship between technology and society.
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Feb 2022

  View Course

 Enrollment : 14-Nov-2021 to 31-Jan-2022

 Exam registration : 13-Dec-2021 to 18-Feb-2022

 Exam Date : 27-Mar-2022

Enrolled

Will be announced

Registered

Will be announced

Certificate Eligible

Will be announced

Certified Category Count

Gold

Will be announced

Silver

Will be announced

Elite

Will be announced

Successfully completed

Will be announced

Participation

Will be announced

Success

Elite

Gold





Legend

Final Score Calculation Logic

Enrollment Statistics

Total Enrollment: 533

Assignment Statistics




Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.