Call for Papers
Call for Papers
SustainableAI2027 solicits papers on all aspects of Sustainable Artificial Intelligence for sustainable and better world.
As AI systems grow in scale and societal influence, their ecological footprint and social implications demand rigorous, interdisciplinary scrutiny.
Submissions of original, high-quality research contributions are invited from researchers, academicians, research scholars, industry professionals, and policymakers worldwide, addressing the intersection of AI and sustainable development across technical, social, environmental, and governance dimensions.
The topics of the conference include, but are not limited to the following:
Track 1: Sustainable AI Theory
- Explainable & Interpretable AI
- Causal AI and model transparency
- AI Safety
- Robustness
- Adversarial attacks
- Uncertainty quantification
- Edge AI & sustainable deployment
- Energy-efficient architectures
- Carbon footprint measurement
- Hardware-software co-design
- Benchmarks and metrics for computational efficiency
Track 2: Ethical, Responsible & Fair AI
- Algorithmic Fairness
- Equity in AI
- Fairness and accountability
- Transparency and bias mitigation
- Human-centred AI
- Participatory AI design
- Bridging the global AI divide
- Capacity-building
- Privacy-preserving AI
- Responsible data collection
- Inclusive AI for underrepresented communities
- Data sovereignty
Track 3: Sustainable Data Practices
- Data minimisation
- Frugal learning
- Low-resource AI
- Responsible data collection
- Data storage efficiency
- Data privacy-preserving methods
- Federated learning
- Decentralised data stewardship
- Open datasets
- ESG requirements for data centres
- Ethical sourcing of data
Track 4: AI for Sustainable Emerging Applications
- AI for sustainable cities
- Smart mobility
- Urban planning
- Waste management
- AI in sustainable healthcare
- Global health equity
- AI for circular economy
- Supply chain optimisation
- Generative AI sustainability
- Environmental cost of LLMs
- Responsible GenAI use
- Measuring AI's net impact
- AI & biodiversity
- Nature-positive solutions
Track 5: AI for Environment & Climate
- AI for environmental monitoring
- AI for climate modelling
- Biodiversity conservation
- Ecosystem monitoring
- Nature-based solutions
- Smart grids
- Renewable energy optimisation
- Sustainable agriculture
- Food security
- Water management
- Remote sensing
- Geospatial AI
- Biodiversity conservation
- Ecosystem monitoring
- AI for SDGs (Sustainable Development Goals)