Future Trends in Artificial Intelligence and Machine Learning: Emerging Technologies, Sustainability, and Social Impact
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Article | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-ai-mch-lr-10
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About the Article
Artificial intelligence (AI) and machine learning (ML) continue to evolve rapidly, creating opportunities for innovation and raising critical questions of sustainability and governance. This article examines future trends, including federated learning, explainable AI, quantum computing, and generative adversarial networks. It highlights the convergence of AI with the Internet of Things (IoT), advances in human augmentation and assistive technologies, and the rise of sustainable AI practices. Case studies illustrate applications in smart cities, healthcare, climate action, and creative industries, showing both potential and risk. The analysis emphasizes that AI’s future must balance innovation with responsibility, ensuring transparent governance, equitable access, and minimized ecological impact. For non-profits and social impact organizations, understanding these trajectories is essential to aligning technological strategies with mission-driven goals and global development priorities.
Key Topics
- Emerging AI technologies (federated learning, XAI, quantum AI, GANs)
- AI-IoT convergence in smart cities, healthcare, and agriculture
- Human augmentation and assistive technologies
- Sustainable AI and green data practices
- Case studies in healthcare, disaster response, and climate action
- Ethical AI governance and inclusive adoption
Suggested Citation
Kazanskaia, A. N. (2025). Future Trends in Artificial Intelligence and Machine Learning: Emerging Technologies, Sustainability, and Social Impact. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-ai-mch-lr-10
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