Investigating Vulnerabilities in Artificial Intelligence
PellAIri is an independent research initiative dedicated to exploring risks stemming from ambiguous language, flawed logic, and software vulnerabilities in artificial intelligence.
Advance Transparency in Artificial Intelligence
PellAIri investigates vulnerabilities and advances transparency in digital systems through evidence-based investigation and AI-assisted analysis, exploring risks from ambiguous language, flawed logic, and software vulnerabilities.
Evidence-Based Investigation
Uncovering risks stemming from ambiguous language, flawed logic, and software vulnerabilities through rigorous analysis.
Public-Interest Signal
Developing a platform to distinguish verified findings from uncertainty and help inform decision-making.
Accountable Automation
Promoting responsible automated decision-making and robust digital system integrity for safer outcomes.
Investigating Vulnerabilities in Artificial Intelligence
Exploring risks stemming from ambiguous language, flawed logic, and software vulnerabilities through evidence-based investigation and AI-assisted analysis.
LLM Behavior
Investigating risks and patterns in large language model outputs.
Software Integrity
Advancing transparency and security across digital systems.
Signal Platform
Developing a public-interest signal platform to inform decisions.
Investigating Artificial Intelligence Risks
PellAIri is an independent initiative dedicated to investigating vulnerabilities and advancing transparency in AI and digital systems through evidence-based analysis and public-interest research platforms.
Blog
Explore our latest findings, investigation reports, and technical insights examining AI vulnerabilities and digital transparency.
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Decoding AI Ambiguity: Turning Uncertain Signals into Verifiable Evidence
This paragraph serves as an introduction to your blog post. Begin by discussing the primary…
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Building Public-Interest Intelligence for High-Stakes Algorithmic Systems
This paragraph serves as an introduction to your blog post. Begin by discussing the primary…
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From Black Box to Clarity: Auditing Large Language Model Behaviors
This paragraph serves as an introduction to your blog post. Begin by discussing the primary…
Investigating Vulnerabilities in Artificial Intelligence
Discover our evidence-based investigations and public-interest signal platform designed to distinguish verified findings from uncertainty and inform critical decision-making.
