Pre-Enrollment

14th November 2026

Final Paper Submission

19th November 2026

Registration Deadline

29th November`2026

Conference Date

14th Dec - 15th Dec 2026

Call for Papers

The International Conference on AI, Machine Learning, and Data Science Ethics invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Artificial Intelligence,Data Science,Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Ethical Ai Practices In Data Science
02
Bias And Fairness In Machine Learning
03
Privacy Concerns In Ai Applications
04
Regulatory Frameworks For Ai Ethics
05
Transparency In Ai Decision-making Processes
06
Accountability In Ai-driven Systems
07
Ai Ethics In Healthcare Applications
08
Social Implications Of Ai Technologies
09
Ai For Promoting Ethical Data Usage
10
Ethical Considerations In Data Collection
11
Ai Ethics In Financial Services
12
Public Perception Of Ai Ethics
13
Ai And Human Rights Considerations
14
Ethics Of Ai In Education
15
Ai For Ethical Marketing Practices
16
Cultural Perspectives On Ai Ethics
17
Ai Ethics In Autonomous Systems
18
Future Challenges In Ai Ethics
19
Collaborative Approaches To Ai Ethics
20
Ai Ethics In The Context Of Globalization
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review