Hybrid Conferencee

International Conference on Legal and Regulatory Frameworks in Artificial Intelligence (ICLRFAI - 26)

7th - 8th November 2026 | Fethiye, Turkey

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Call for Papers Extended:
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Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Fethiye conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Fethiye, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Fethiye."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 5
SDG 5 Gender Equality
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Legal Implications of AI in Engineering

This track will explore the legal challenges and implications of integrating artificial intelligence within engineering practices. Discussions will focus on compliance, liability, and the evolving regulatory landscape surrounding AI technologies.

Track 02

AI Applications in Regulatory Compliance

This session will examine the role of artificial intelligence in enhancing regulatory compliance across various sectors. Participants will analyze case studies demonstrating successful AI applications in monitoring and enforcing compliance standards.

Track 03

Machine Learning and Data Governance

This track will delve into the intersection of machine learning technologies and data governance frameworks. The focus will be on best practices for ensuring data integrity, privacy, and ethical use in AI systems.

Track 04

Predictive Analytics in Legal Frameworks

This session will investigate the use of predictive analytics within legal frameworks to forecast trends and outcomes. Attendees will discuss methodologies for integrating predictive models into legal decision-making processes.

Track 05

Automation and AI Frameworks in Engineering

This track will address the development and implementation of automation technologies guided by AI frameworks in engineering. Discussions will include the benefits, challenges, and regulatory considerations of automated systems.

Track 06

Ethical Considerations in AI Deployment

This session will focus on the ethical implications of deploying artificial intelligence in engineering contexts. Participants will engage in discussions about responsible AI use, bias mitigation, and the societal impacts of AI technologies.

Track 07

Innovation Strategies for AI in Legal Technology

This track will explore innovative strategies for integrating artificial intelligence into legal technology solutions. Emphasis will be placed on fostering collaboration between legal experts and technologists to drive effective AI adoption.

Track 08

Deep Learning and Its Regulatory Challenges

This session will examine the regulatory challenges associated with deep learning technologies in engineering applications. Discussions will focus on transparency, accountability, and the need for adaptive regulatory frameworks.

Track 09

AI Policy Frameworks and Governance

This track will analyze existing AI policy frameworks and their effectiveness in governing AI technologies. Participants will discuss the need for comprehensive policies that balance innovation with public safety and ethical considerations.

Track 10

Compliance Strategies for AI Systems

This session will focus on developing compliance strategies for organizations implementing AI systems. Attendees will explore frameworks that ensure adherence to legal standards while promoting innovation.

Track 11

The Future of AI in Engineering: Legal Perspectives

This track will provide insights into the future of artificial intelligence in engineering from a legal perspective. Discussions will encompass emerging trends, potential regulatory changes, and the implications for engineering practices.