Ethics and Multimodal Applications on the Rise
June confirms two major trends in AI research, with volumes significantly exceeding seasonal variations.
Ethics and social impacts: 259 papers published this month, compared to 170 in May (+52%). Recent work addresses governance, bias, and fairness issues, often in connection with concrete applications. Three notable examples:
- AI Governance in the Global South: Challenges and Opportunities for Inclusive Policy Frameworks
- Bias Mitigation in Large Language Models: A Survey of Techniques and Evaluation Metrics
- The Environmental Footprint of Generative AI: Measuring and Mitigating Energy Consumption
Multimodal applications: 684 papers, compared to 527 in May (+30%). Models integrating text, image, audio, and video are gaining maturity, with architectures optimized for specific tasks. Among recent publications:
- Unified Multimodal Transformers for Real-Time Video Question Answering
- Cross-Modal Retrieval with Contrastive Learning: Aligning Text, Image, and Audio Embeddings
Conversely, topics such as Generative Adversarial Networks (378 papers, -7%) or Graph Neural Networks (274, -8%) are losing ground, though the data does not allow for identifying a single factor.