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About Conference

About

Conference Title

1 International Conference on The Implications of AI on Society (Education, Health, Energy, Industry and Economy)

The Delta AI Conference focuses on the implications of AI across various sectors including Education, Health, Industry, Energy and Economy.

Understanding how AI can affect society – requires an understanding of the capabilities of this technology and their development. Moreover, AI capabilities need to be compared to human skills to understand where AI can replace humans and where it can complement them.

This knowledge base will help predict which tasks AI may automate and, consequently, how AI may shift the demand for skills. Policy makers can use this information to reshape education systems in accordance with future skills needs and to develop tailored labour-market policies.

Conference Themes

Theme 1

Education

AI is transforming the way learners access knowledge, teachers deliver content, and institutions assess performance. The integration of AI tools—like adaptive learning systems, automated grading, and chatbots—raises both opportunities and ethical dilemmas.

  1. Adaptive learning and intelligent tutoring systems
  2. AI in assessment and academic integrity challenges
  3. Educational data analytics and student profiling
  4. Equity and inclusion in AI-enabled education
  5. Curriculum redesign for AI literacy
  6. Ethical and legal implications in education AI use
Theme 2

Health

AI technologies are revolutionizing diagnostics, treatment, and healthcare management, yet they introduce issues of accountability, fairness, and data protection.

  1. AI in medical imaging and diagnostics
  2. Predictive analytics for epidemics and disease outbreaks
  3. AI-based robotic surgery & telemedicine
  4. Data privacy & security in medical AI
  5. Ethics, accountability, and transparency in AI decision-making
  6. Accessibility & affordability of AI healthcare solutions
Theme 3

Energy

AI supports the global shift toward renewable energy, smart grids, and sustainable resource management—but its computational intensity has environmental costs.

  1. AI in energy demand forecasting
  2. Smart grid management using machine learning
  3. Predictive maintenance in renewable energy plants
  4. Environmental impact of large AI models and data centers
  5. Cybersecurity risks in AI-driven energy infrastructure
  6. Policy frameworks for sustainable AI energy use
  7. Integration of AI with IoT and robotics
Theme 4

Industry

AI drives the fourth industrial revolution by integrating robotics, IoT, and data analytics to optimize production, logistics, and innovation.

  1. AI-driven manufacturing and predictive maintenance
  2. Supply chain optimization and intelligent logistics
  3. Human–AI collaboration in industrial settings
  4. Impact on employment and skill development
  5. Ethical and legal frameworks for industrial AI
Theme 5

Economy

AI’s macroeconomic impact spans productivity gains, labor market disruptions, and structural shifts in global competitiveness.

  1. AI and productivity growth across sectors
  2. Labor displacement and emerging job categories
  3. AI’s influence on international trade and competitiveness
  4. Economic inequality and wealth concentration
  5. Policy responses: taxation, education, and social protection
  6. Ethical governance of AI-driven economies

Important Dates

Submission of Extended Abstracts: April 30, 2026

Notification of Acceptance: May 15 , 2026

Submission of papers and posters: August 15 , 2026

Notification of papers and posters acceptance: September 15 , 2026

Language

The conference language is English; Presentation and proceedings will be in English.

Publication

Accepted papers will be published in Scopus indexed journal or Delta University Scientific Journal (DUSJ) hosted published on EKB.