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Avatar

Ramakrishnan Neelakandan

Digital Health Quality and Safety Lead at Google

US

Joined Feb 2024

About

Ramakrishnan is a technology professional focussed on AI and Digital Health Technologies. He is a Fellow for AI 2030 focussed on developing responsible and safe AI policies and frameworks.

Stats

Reputation: 320
Pageviews: 13.2K
Articles: 5
Comments: 0
  • Articles

Articles

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AI Risk Management Framework: A Technical Deep Dive for AI Developers
AI Risk Management Framework guides developers to build AI systems by identifying and mitigating risks through testing, secure coding, and continuous monitoring.
May 20, 2024
· 1,154 Views · 3 Likes
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Engineering Trustworthy AI: A Deep Dive Into Security and Safety for Software Developers
Building truly intelligent systems isn't enough; we must prioritize security and safety to ensure these innovations benefit humanity without causing harm.
May 13, 2024
· 912 Views · 3 Likes
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Building Safe AI: A Comprehensive Guide to Bias Mitigation, Inclusive Datasets, and Ethical Considerations
Data quality is key for fair AI. Biased or incomplete datasets lead to AI models that make unfair or inaccurate decisions, harming individuals and eroding trust.
March 14, 2024
· 4,451 Views · 3 Likes
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Mitigating Adversarial Attacks: Strategies for Safeguarding AI Systems
This article explores key strategies for mitigating adversarial manipulation and ensuring robust operations in real-world applications.
March 7, 2024
· 2,475 Views · 3 Likes
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Evaluating LLMs: Beyond Traditional Software Testing
LLM evaluation is constantly changing as the models improve; LLMs don't have simple right/wrong answers, making results subjective, so testing methods need to adapt.
March 1, 2024
· 4,189 Views · 3 Likes

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