🤝 Building Trust in AI
Robust Intelligence - ensuring AI safety and performance
Today's Highlights
- Robust Intelligence - tackling AI vulnerabilities and advancing security
- Learn - a couple of courses to further your knowledge in AI/Machine Learning.
- In Other News - a few interesting developments we're tracking.
Robust Intelligence - tackling AI vulnerabilities and advancing security
The AI company, Robust Intelligence (RI), has emerged as a leader in the development of resilient, safe, and trustworthy artificial intelligence systems. The company's goal is to develop artificial intelligence solutions that can confidently adapt to a wide range of situations in the real world while maintaining high performance and resilience to hostile attacks.
The goal of Robust Intelligence is to create AI systems that are resilient to adversarial attacks and can be trusted in mission-critical applications. AI systems have the ability to transform industries, but they are also subject to data manipulation and other security flaws. The primary goal of RI is to detect and address these vulnerabilities, with the goal of eventually developing AI systems that can be depended on for their safety, security, and performance.
Robust Intelligence"s approach to AI system development is founded on three essential principles: transparency, robustness, and human-centeredness. Transparency implies that the organization creates AI systems that are simple to comprehend and explain. This is critical for establishing user confidence and ensuring that AI systems can be audited and regulated successfully. The ability of an AI system to function efficiently in the face of unexpected occurrences or disturbances is referred to as robustness. Everything from system failures to adversarial attacks falls under this category. Robust Intelligence's systems are built to withstand such obstacles, making them more reliable and trustworthy. Finally, human-centeredness is a basic principle of Robust Intelligence's AI development strategy. This means that the corporation prioritizes human users' wants and values and seeks to guarantee that AI systems reflect these ideals. This encompasses things like fairness, privacy, and ethical data use.
As AI permeates more industries and applications, the necessity of AI safety, security, and robustness will only increase. Robust Intelligence, with its innovative products and contributions to AI research, is well-positioned to lead the way in this emerging industry. RI is shaping the future of AI deployment and ensuring that these powerful tools can be used safely and efficiently across a wide range of applications by promoting a culture of trustworthiness and resilience in AI systems.
Robust Intelligence was founded in 2019 by Yaron Singer and Kojin Yoshiba. They have raised $44 million to date.
📚 Learn
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Kelvin Lwin
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Shree Nayar
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In Other News
Staff Writer
Tech StorrorNathan Pierce