Alex Ingerman
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View article: The Ethics of Advanced AI Assistants
The Ethics of Advanced AI Assistants Open
This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural language interfaces, whose function is to plan and execute seque…
View article: Privacy-first health research with federated learning
Privacy-first health research with federated learning Open
Privacy protection is paramount in conducting health research. However, studies often rely on data stored in a centralized repository, where analysis is done with full access to the sensitive underlying content. Recent advances in federate…
View article: A Field Guide to Federated Optimization
A Field Guide to Federated Optimization Open
Federated learning and analytics are a distributed approach for collaboratively learning models (or statistics) from decentralized data, motivated by and designed for privacy protection. The distributed learning process can be formulated a…
View article: Privacy-first health research with federated learning
Privacy-first health research with federated learning Open
Privacy protection is paramount in conducting health research. However, studies often rely on data stored in a centralized repository, where analysis is done with full access to the sensitive underlying content. Recent advances in federate…
View article: Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable\n Claims
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable\n Claims Open
With the recent wave of progress in artificial intelligence (AI) has come a\ngrowing awareness of the large-scale impacts of AI systems, and recognition\nthat existing regulations and norms in industry and academia are insufficient\nto ens…
View article: Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims Open
With the recent wave of progress in artificial intelligence (AI) has come a growing awareness of the large-scale impacts of AI systems, and recognition that existing regulations and norms in industry and academia are insufficient to ensure…
View article: Towards Federated Learning at Scale: System Design
Towards Federated Learning at Scale: System Design Open
Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralized data. We have built a scalable production system for Federated Learning in the domain of mobile devices, based on…