International Conference on

AI, Machine Learning, and Data Science Ethics (ICALDE-26)

19th – 20th Sep 2026 | Tokyo, Japan | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on AI, Machine Learning, and Data Science Ethics invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Artificial Intelligence, Data Science, Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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