Ethics and Bias
4. AI Ethics and Bias Mitigation: The ethical considerations surrounding AI and ML are gaining prominence. In 2024, we can expect increased efforts to address bias in algorithms, ensuring fairness and inclusivity in AI applications.
5. Federated Learning: Privacy concerns are fueling the adoption of federated learning, allowing models to be trained across decentralized devices without sharing raw data. This approach maintains data privacy while still benefiting from collaborative learning.
Top 20 Trends in AI and ML to Watch in 2024
As we step into 2024, the dynamic landscape of Artificial Intelligence (AI) and Machine Learning (ML) continues to evolve at an unprecedented pace. From revolutionizing industries to enhancing daily life, AI and ML have become integral components of our technological ecosystem.
In this article, we explore the Top 20 trends in AI and ML Trends that are poised to shape the future in 2024.
Table of Content
- Explainability and Transparency
- Computational Paradigms
- Ethics and Bias
- Applications and Industries
- Creativity and Content Generation
- Human Augmentation
- Education and Healthcare
- Interactions and Communication
- Security and Governance
- Robotics and Finance
- Sustainability
- Emerging AI Trends
- Applications AI Trends
- Advanced Vehicles and Intelligent Transport Systems
- Future of AI
- Conclusion