CALL FOR PAPERS & CONFERENCE TRACKS

Original research papers, research surveys, case studies, or action plans on any of the sub themes or covering topics relevant to the main theme of the conference, using 11 Point Times New Roman Font, APA bibliographical and citation standard, may be submitted through given link https://cmt3.research.microsoft.com/ICASDGAI2026/. For Further Details you may contact [email protected]

Track-1 Ethical and Responsible AI for Sustainable Development

• Topics: Ethical AI practices, data privacy and security, AI governance and policy, and addressing AI biases for fair and just outcome

Ethical AI Practices

• Principles and frameworks for ethical AI
• Case studies of ethical AI implementations
• Developing and promoting AI ethics guidelines
• Ethical considerations in AI development and deployment

Data Privacy and Security

• Techniques for ensuring data privacy in AI applications
• Data anonymization and de-identification methods
• AI in cybersecurity: Threat detection and prevention
• Legal and regulatory aspects of data privacy in AI

AI Governance and Policy

• Formulating AI governance frameworks and policies
• International standards and regulations for AI
• Role of governments and organizations in AI governance
• Public perception and acceptance of AI policies

Addressing AI Biases

• Identifying and mitigating biases in AI algorithms
• Techniques for creating fair and unbiased AI systems
• Case studies of AI bias and its impact
• Ensuring diversity and inclusion in AI development

AI Transparency and Explainability

• Techniques for making AI systems transparent and interpretable
• Tools and methods for explaining AI decisions
• Importance of transparency in building trust in AI
Case studies on explainable AI in practice

Human-AI Collaboration

• Ethical considerations in human-AI interaction
• Designing AI systems that augment human capabilities
• Balancing automation and human oversight
• Impacts of AI on workforce and employment
• Sustainable AI Development
• Strategies for reducing the environmental impact of AI
• Energy-efficient AI algorithms and hardware
• Life cycle assessment of AI systems
• Promoting sustainable practices in AI research and development

AI for Social Good

• Leveraging AI for humanitarian efforts and social causes
• Ethical considerations in deploying AI for social good
• Case studies of AI projects with positive social impact
• Measuring and evaluating the social impact of AI initiatives

Ethical Challenges in Emerging AI Technologies

• Ethical implications of AI in emerging fields (e.g., autonomous systems, biotechnology)
• Addressing ethical dilemmas in AI research and development
• Cross-disciplinary approaches to ethical AI challenges
• Future directions in ethical AI research

Track -2 AI for Environmental Sustainability

Climate Change Mitigation and Adaptation

• AI for predicting climate patterns
• AI in carbon capture and storage
• Machine learning for climate change adaptation strategies
• AI in monitoring and reducing greenhouse gas emissions

Renewable Energy

• AI for optimizing solar and wind energy
• Predictive maintenance for renewable energy infrastructure
• AI-driven energy storage solutions
• Smart grids and energy distribution using AI

Biodiversity Conservation

• AI for wildlife monitoring and protection
• Machine learning in habitat mapping and species distribution
• AI in combating poaching and illegal wildlife trade
• Predictive analytics for ecosystem management

Pollution Control and Waste Management

• AI for air and water quality monitoring
• Machine learning for waste sorting and recycling
• Predictive modeling for pollution control measures
• AI in reducing industrial waste and emissions

Sustainable Agriculture

• AI for precision farming and crop management
• Machine learning in soil health and fertility analysis
• AI-driven pest and disease detection and management
• Predictive analytics for water-efficient irrigation systems

Sustainable Urban Planning

• AI for green building design and construction
• Machine learning in urban green space management
• AI in sustainable transportation planning
• Predictive models for urban heat island mitigation

Marine and Ocean Sustainability

• AI for monitoring and protecting marine ecosystems
• Machine learning in sustainable fisheries management
• Predictive analytics for ocean pollution control
• AI in marine biodiversity conservation

Forestry and Land Use Management

• AI for forest health monitoring and management
• Machine learning in land use planning and conservation
• Predictive models for deforestation and reforestation efforts
• AI in wildfire prediction and management

Track-3 AI for Social Equity and Inclusion

Reducing Inequalities

• AI-driven strategies to reduce economic disparities
• Machine learning applications for social welfare programs
• AI in addressing rural-urban inequality
• Case studies of AI reducing social and economic gaps

Gender Equality

• AI applications for promoting gender equality
• Machine learning in identifying and mitigating gender biases
• AI in empowering women in STEM and other fields
• Case studies on AI initiatives supporting gender equality

Access to Education

• AI in enhancing educational access and quality
• Personalized learning systems using AI
• AI tools for inclusive education for differently-abled students
• Case studies of AI improving educational outcomes

Access to Healthcare

• AI in providing equitable healthcare services
• Machine learning for predicting and preventing diseases
• AI-driven telemedicine and remote healthcare solutions
• Case studies of AI improving healthcare access in underserved communities

Poverty Alleviation

• AI applications in poverty mapping and resource allocation
• Machine learning for microfinance and economic empowerment
• AI in supporting sustainable livelihoods
• Case studies of AI-driven poverty alleviation programs

Inclusive Communities

• AI in urban planning for inclusive cities
• Machine learning for improving public transportation access
AI applications for enhancing community safety and security Case studies on AI fostering inclusive community development

AI for Disabilities and Special Needs

• AI-driven assistive technologies for differently-abled individuals
• Machine learning in accessibility solutions
• AI applications for improving independent living
• Case studies of AI empowering individuals with disabilities

Cultural and Linguistic Inclusion

• AI in preserving and promoting cultural heritage
• Machine learning for language translation and preservation
• AI applications for supporting minority languages
• Case studies of AI fostering cultural and linguistic inclusion

AI for Social Justice

• AI in criminal justice reform and fairness
• Machine learning for identifying and addressing social injustices
• AI-driven solutions for reducing discrimination and prejudice
• Case studies on AI promoting social justice

Youth and AI

• AI applications for empowering youth and young entrepreneurs
• Machine learning in youth education and skill development
• AI-driven initiatives supporting youth engagement in social causes
• Case studies of AI creating opportunities for young people

Track-4 AI for Economic Growth and Innovation

AI in Industry and Manufacturing

• AI-driven automation and robotics in manufacturing
• Predictive maintenance using machine learning
• AI for optimizing supply chain management
• Case studies of AI enhancing industrial productivity

Innovation and Entrepreneurship

• AI in fostering innovation ecosystems
• Machine learning for startup success prediction
• AI tools for market analysis and business strategy
• Case studies of AI-powered startups and innovations

Smart Cities and Infrastructure

• AI in urban planning and smart city development
• Machine learning for traffic management and transportation systems
• AI-driven infrastructure monitoring and maintenance
• Case studies of AI improving urban living standards

Sustainable Economic Practices

• AI for promoting sustainable consumption and production
• Machine learning in resource management and efficiency
• AI applications in circular economy models
• Case studies of AI driving sustainable economic growth

Financial Services and FinTech

• AI in banking and financial services
• Machine learning for fraud detection and risk management
• AI-driven investment and wealth management tools
• Case studies of AI transforming financial services

Job Creation and Workforce Development

• AI in identifying job market trends and opportunities
• Machine learning for personalized career development
• AI-driven training and reskilling programs
• Case studies of AI supporting workforce development

Agricultural Innovation

• AI in precision agriculture and smart farming
• Machine learning for crop yield prediction and management
• AI applications for sustainable livestock farming
• Case studies of AI boosting agricultural productivity

AI in Retail and E-commerce

• AI-driven personalized shopping experiences
• Machine learning for inventory and demand forecasting
• AI applications in supply chain and logistics
Case studies of AI revolutionizing retail and e-commerce

AI for Tourism and Hospitality

• AI in enhancing customer experiences in tourism
• Machine learning for travel recommendations and planning
• AI-driven solutions for hotel and hospitality management
• Case studies of AI innovations in the tourism industry

AI in Healthcare and Biotechnology

• AI for accelerating drug discovery and development
• Machine learning in personalized medicine and treatments
• AI-driven healthcare innovations and startups
• Case studies of AI contributing to healthcare advancements