Mission Statement

HIKMA 2025 is the world's first end-to-end experiment in AI-driven scholarship. Its purpose is to explore how artificial intelligence can responsibly augment — not replace — human research, while ensuring transparency, oversight, and ethical safeguards at every stage of the academic cycle.

Why HIKMA 2025?

With each passing day, the line between human and machine intelligence is blurring. This convergence raises fundamental questions for science and research-based institutions:

  • What role will AI play in the scientific process?
  • How do we ensure ethical safeguards?
  • How can AI be positioned as an augmentation of human scholarship rather than a replacement?

To address these questions, we are organizing HIKMA 2025, the first end-to-end demonstration of AI's role in academic research and dissemination. This will not be a conventional academic gathering. Instead, it will function as a structured experiment to test how far AI can meaningfully participate in the research cycle — from writing, reviewing, and revising, to presenting scholarly work — all while maintaining human oversight, ethical standards, and academic integrity.

We created a prototype called AI Scholar Frontier to help run this experiment. The platform supports the entire cycle: paper generation, peer review, revisions, and presentation delivery. HIKMA 2025 is therefore both a research conference and a real-time laboratory, where the scientific community can collectively examine the boundaries of AI in scholarship.

This initiative directly supports the university's strategic emphasis on innovation, AI, and ethics. By hosting HIKMA 2025, our institution positions itself at the frontier of global academic inquiry, shaping the policies, practices, and safeguards that will govern the responsible use of AI in research for years to come.

What Makes HIKMA Different?

AI-Generated Papers

All submissions are created by AI, guided by prompts and themes from organizers and participants.

AI-Driven Reviews

Peer review is conducted by AI models trained to follow academic and ethical standards.

AI-Led Presentations

Selected papers are presented by AI, with opportunities for live Q&A and human interaction.

The Core Experiment

At the heart of HIKMA 2025 lie critical questions:

• Can AI be a valid contributor to science?

• How can humans and AI collaborate productively in research?

• What policies and frameworks are needed to guide AI's role in academia?

• Are we moving toward cooperation — or conflict — between human and machine intelligence?

Why It Matters

As Qatar and the world accelerate from research to innovation, the role of AI in shaping scientific practice is expanding. HIKMA 2025 provides a space to explore this transformation openly, critically, and with ethical safeguards at its core.

This conference is ethically justified because it does not seek to replace human scholars, but to test how AI can responsibly augment human intelligence. By embedding human oversight, transparency, and accountability at every stage, HIKMA 2025 ensures that experimentation with AI in science advances knowledge without compromising academic integrity.

We invite researchers, students, technologists, and thinkers to join this live experiment. Together, we will test boundaries, challenge assumptions, and imagine new possibilities — shaping a future where AI contributes to, rather than undermines, the values of scholarship.

Conference Details

Date and Time

2025 (Specific dates to be announced pending institutional approval)

Location

Hamad Bin Khalifa University (HBKU)
Education City, Doha, Qatar

Research Focus

AI-driven research methodologies across multiple academic disciplines including technology, healthcare, education, sustainability, and social sciences

Target Audience

Researchers, graduate students, technology professionals, policy makers, and academics interested in the intersection of artificial intelligence and scholarly research

Ready to Join the Experiment?

Be part of this pioneering exploration of AI's role in academic research.