AIKP'27 — 7th International Conference on Artificial Intelligence and Knowledge Processing

6th Edition — 3+ Reviewers per Paper, 7 Keynote Speakers

About Us

Pioneering the Future: From Knowledge Sharing to Knowledge in Action

Artificial Intelligence and Knowledge Processing are redefining the horizons of health, humanity, and well-being by transforming data into actionable intelligence, driving predictive models, and enabling machines to reason with human-like cognition. From precision healthcare and assistive technologies to sustainable infrastructures and inclusive governance, AI is reshaping traditional processes into adaptive, intelligent frameworks that foster innovation, resilience, and efficiency. These advances raise critical challenges of ethics, transparency, and accountability that demand responsible deployment. The 6th International Conference on Artificial Intelligence and Knowledge Processing (AIKP 2027) offers a distinguished platform for researchers, practitioners, and policymakers to engage with cutting-edge topics including deep learning, reinforcement learning, generative models, knowledge representation, semantics, big data analytics, intelligent systems, neuro-symbolic approaches, and brain–computer interfaces, collectively exploring the opportunities and responsibilities of building AI that empowers health, augments human capability, and serves society in sustainable and ethical ways.

28 – 29

September 2027

Woxsen University, Hyderabad, India

Paper Submission

Call For Papers

Submit Your Paper

Track 1

Multimodal Precision Diagnostics and Generative Clinical Knowledge Extraction

This track focuses on the integration of generative AI, large language models, and computer vision for high-accuracy diagnostic workflows. Relevant topics include structured information extraction from unstructured electronic health records, clinical-documentation normalisation, genomic-data analysis, electronic clinical decision support, early disease-trajectory modelling, and multimorbidity management.

Track 2

Ethical AI Architectures, Explainable Clinical Systems, and Misinformation Safeguards

This track addresses trust, fairness, transparency, privacy, and regulatory compliance in AI-enabled healthcare. Topics include explainable AI for clinical decision-making, algorithmic-bias mitigation for underrepresented populations, privacy-preserving data architectures, and verification frameworks for validating public-facing LLM outputs against reliable medical knowledge sources.

Track 3

Agentic Workflow Automation, Ambient Intelligence, and Workforce Resilience in Clinical Settings

This track explores the use of AI to reduce clinician burnout and administrative burdens while strengthening healthcare delivery. Topics include ambient AI scribes, agentic process discovery, automated prior authorisations, virtual-assistant models, intelligent triage, hospital scheduling, and AI-enabled systems designed to restore frontline clinical capacity.

Track 4

Global Health Equity through AI Telemedicine and Decentralised Knowledge Architectures

This track focuses on using AI and decentralised technologies to reduce socioeconomic and geographic barriers to healthcare. Relevant topics include SMS- and WhatsApp-based conversational agents for low-resource settings, patient-controlled blockchain-enabled health records, IoT-enabled wearables for remote chronic-disease monitoring, and cross-jurisdictional policy frameworks for equitable telemedicine.

CMT Acknowledgement: The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Breakthrough Series

Technical Workshop

AIKP 2027 • A Chapter for AIKP

Hands-on Technical Session

For the first time in the conference’s six-year journey, AIKP 2027 introduces a dedicated Technical Practical Workshop Session — a hands-on addition built to complement our tradition of high-quality research presentations.

Why It Matters

While previous editions of AIKP brought together thought leaders to share ideas, this new session takes it a step further into the how. Expect live demonstrations, real industry use cases, and practical implementation strategies from experts working at the frontier of AI.

Who Should Attend

Researchers, students, developers, and industry professionals looking to move beyond theory and gain direct, applicable experience with today’s AI technologies.

What To Expect