AI Intermediary

AI intermediaries are platforms or systems facilitating access to and management of AI models and data, addressing challenges like model deployment and data scarcity. Current research focuses on improving the governance of these intermediaries to mitigate risks associated with harmful model usage, enhancing privacy in federated learning through techniques like adaptive intermediary strategies and differential privacy, and optimizing data discovery for transfer learning via scalable search engines. These advancements are crucial for responsible AI development, enabling broader access to AI tools while mitigating potential harms and improving the efficiency of AI research and applications.