Samsung AI Safety Research Fund

Samsung AI Safety Research Fund is sponsored by Samsung Research. This fund supports AI safety projects through academic collaboration programs, addressing practical safety challenges of deploying AI in consumer devices and edge computing environments. Research areas include adversarial robustness for on-device AI, secure federated learning, and privacy-preserving AI inference.

Samsung AI Safety Research Fund Grant (Up to $200K · Apply Now) | AI Safety Directory Samsung AI Safety Research Fund Last updated : March 29, 2026 Samsung Research funds AI safety projects through its academic collaboration programs, supporting research on robustness, privacy-preserving AI, and safe deployment of AI in consumer devices and edge computing environments.

Grants address practical safety challenges including adversarial robustness for on-device AI, secure federated learning, and reliable AI systems for mobile and IoT platforms. The program bridges academic safety research with real-world deployment in consumer electronics.

robustness privacy secure deployment guardrails Samsung Research funds AI safety projects through its academic collaboration programs, addressing the practical safety challenges of deploying AI in consumer devices and edge computing environments.

The program supports research on adversarial robustness for on-device AI, secure federated learning, privacy-preserving AI inference, and the development of reliable AI systems for mobile and IoT platforms. Samsung's focus on consumer device safety brings a distinctive perspective to AI safety research, emphasizing real-time safety constraints and resource-limited computing environments.

The program bridges academic safety research with real-world deployment challenges unique to consumer electronics. Unlike cloud-based AI systems with virtually unlimited compute, on-device AI must maintain safety properties while operating within strict memory, power, and latency constraints.

Samsung's AI safety research fund supports work that addresses these practical constraints, including lightweight adversarial defense mechanisms, efficient privacy-preserving computation, and robust AI behavior under variable real-world conditions encountered by mobile devices. Samsung Research accepts proposals through its academic partnership programs, typically advertised on the Samsung Research website.

Applications should describe the proposed safety research, its relevance to AI deployment in consumer devices, and the research team's qualifications. Samsung values proposals that address practical safety challenges relevant to its product ecosystem, including mobile devices, smart home products, and automotive applications.

The application process involves review by Samsung Research scientists and may include discussions about potential collaboration arrangements. Funded researchers often work in consultation with Samsung's internal safety and privacy teams. Samsung typically funds one to two-year projects with annual renewals based on progress.

Proposals should include clear milestones, deliverables, and plans for evaluating the practical applicability of the research results. What Makes a Strong Application Strong Samsung proposals address concrete safety challenges in consumer AI deployment with technically rigorous approaches. The program values research that can be validated on realistic consumer device scenarios and that produces results applicable to Samsung's products.

Expertise in areas such as adversarial machine learning, federated learning, on-device inference optimization, or IoT security is particularly relevant. Proposals that demonstrate understanding of the unique constraints of edge AI — limited compute, real-time requirements, diverse user populations, and variable operating conditions — are most competitive.

Samsung appreciates proposals with clear practical deliverables such as defense algorithms, evaluation benchmarks, or safety testing tools that could be integrated into consumer device development workflows. Frequently Asked Questions Does Samsung provide hardware or devices for funded research? Samsung may provide devices, development kits, or technical support for funded researchers depending on the project requirements.

Specific resource provisions are discussed during the grant agreement process. Access to Samsung's internal development tools may also be available for relevant projects. Can non-Korean researchers apply to Samsung's AI safety research fund?

Yes. Samsung Research operates globally and funds academic researchers worldwide. The program is not limited to Korean institutions.

Proposals from researchers at any accredited university or research institution are welcome regardless of geographic location. What is the typical grant size for Samsung AI safety research? Samsung AI safety research grants typically range from $50,000 to $200,000 per year for one to two-year projects.

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