Christopher has been a RIMAS Governing Council Member since 2014.
Artificial Intelligence Alignment Chapter
The Artificial Intelligence (AI) Alignment chapter demonstrates an organizational commitment to trust and integrity.
The AI Alignment Chapter, established under RIMAS, is dedicated to the responsible development and governance of AI systems, ensuring they align with business objectives and regulatory standards. As AI becomes more integrated into society, safeguarding its ethical, secure, and safe deployment is essential. The chapter focuses on comprehensive risk assessments, emphasizing AI safety, ethics, and security, and aligning AI technologies with organizational KPIs and compliance requirements to ensure that these systems benefit both businesses and society.
This chapter addresses the risks and their assessments associated with machine learning models, artificial intelligence, and generative AI technologies, providing a holistic approach to AI risk management. By advancing responsible AI practices, the chapter seeks to foster a deeper understanding of AI ethics, mitigate potential risks, and ensure that AI systems operate in harmony with both organizational goals and societal expectations.
Through regular workshops, seminars, and collaborative initiatives, the AI Alignment Chapter offers a platform for industry professionals to exchange insights, gain expertise, and promote best practices in AI risk management and alignment. The chapter's primary goal is to ensure that AI systems meet today's regulatory and business demands while staying aligned with future technological advancements, building trust and accountability in the AI ecosystem.
Chapter's Leaders
Chairman, AI Alignment Committee
Mr. Abhinav Reddy Appidi
Founder and CEO, SuperAlign
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SuperAlign | Building the world's most advanced AI Safety platform.
Previously, I founded Aztlan, building scalable distributed platforms & ML systems for high-risk industries, worked with government departments and enterprises building and aligning AI models with organizational policies.
Background - MS(research) in Medical Imaging and Machine Translation from IIIT Hyderabad.
Passionate about ensuring AI compliance and safety, SuperAlign helps organizations to govern and align AI models with policies.
Visit us at SuperAlign - https://superalign.ai
Co-Chairman, AI Alignment Committee
Mr. Suhas Darsi
Co-Founder, SuperAlign
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I am a Co-founder at Superalign, where we are building the world's most advanced AI safety platform. My passion lies in developing tools to ensure safe AI systems.
Previously, I founded Azltan, focusing on building scalable distributed platforms and ML systems for high-risk industries. I have extensive experience working with government departments and enterprises, developing and implementing AI models.
My academic background includes an MS in research in computer vision from IIIT Hyderabad. During my studies, I built an ADAS system using a monocular camera for Indian conditions, collaborating with Microsoft's mobile division. This project was later utilized in an automatic driver license track in Delhi.
I also worked on a heritage project that employed computer vision for on-device storytelling. This innovative system seamlessly stitched stories together based on user movements at various sites and was implemented in multiple locations.
With my expertise in AI, computer vision, and distributed systems, I am committed to advancing AI safety and creating impactful solutions for complex challenges in high-risk industries.