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International Conference on AI, Machine Learning, and Data Science Ethics (ICALDE-27)

24th - 25th Apr 2027,Pattaya, Thailand

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Call for Paper

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Important Dates


Early Bird Registration

25th Mar 2027

Paper Submission Deadline

30th March 2027

Registration Deadline

9th April 2027

Conference Date

24th - 25th Apr 2027

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Pattaya ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Pattaya conference.
  • Peer Review Process:
    The peer review process will begin soon for Pattaya conference.
  • Networking with Global Experts:
    Join global experts at our conference in Pattaya.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICALDE bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on AI, Machine Learning, and Data Science Ethics, encouraging applied research, case studies, and industry-driven innovations.

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

  • Ethical AI practices in data science
  • Bias and fairness in machine learning
  • Privacy concerns in AI applications
  • Regulatory frameworks for AI ethics
  • Transparency in AI decision-making processes
  • Accountability in AI-driven systems
  • AI ethics in healthcare applications
  • Social implications of AI technologies
  • AI for promoting ethical data usage
  • Ethical considerations in data collection
  • AI ethics in financial services
  • Public perception of AI ethics
  • AI and human rights considerations
  • Ethics of AI in education
  • AI for ethical marketing practices
  • Cultural perspectives on AI ethics
  • AI ethics in autonomous systems
  • Future challenges in AI ethics
  • Collaborative approaches to AI ethics
  • AI ethics in the context of globalization

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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