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How To Improve AI Agent Security with Microsoft’s AI Red Teaming Agent in Microsoft Foundry

Building safe AI isn’t optional anymore. Every model deployed to production faces adversarial users trying to make it behave badly. Microsoft Foundry gives you automated red teaming – essentially a tireless attacker probing your system for weaknesses. But finding vulnerabilities is only half the battle. You need to understand exactly which attacks breach your systems…

8 minutes read
By Richard Young | 8 minutes read
Agents Prompt Learning Responsible AI

A Watermark for Large Language Models

In our latest live AI research papers community reading, the primary author of the popular paper A Watermark For Large Language Models (John Kirchenbauer of University of Maryland) walked us through the thinking behind the paper, technical approach, and key takeaways. The paper’s proposed watermark can be embedded with negligible impact on text quality, and…

4 minutes read
By Jason Lopatecki | 4 minutes read
Responsible AI
Title reads: Quick Guide to the EU AI Act for AI Teams

Quick Guide to the EU AI Act for AI Teams

The EU AI Act is the world’s first comprehensive AI regulation, meant to promote responsible AI development and deployment in the European Union (EU). If you’re working with AI and have any interaction with the EU market, the regulations likely apply to you. We took a look at the Act to help unpack the risk…

6 minutes read
By Sarah Welsh | 6 minutes read
AI In the Enterprise Generative AI Responsible AI

How to Improve LLM Safety and Reliability

 As language models (LLMs) become integral to customer-facing applications, safety is a requirement. When AI systems are trusted to provide information, guidance, and customer support, lapses in safety can have serious consequences. There are many real-world examples where LLMs have ended up in the news, sometimes in unexpected and unsettling ways: AI-powered search engines…

9 minutes read
By Eric Xiao | 9 minutes read
Generative AI Large Language Models LLM Evals Responsible AI
graduation

Using Generative AI to Evaluate Bias in Speeches

Kansas City Chiefs kicker Harrison Butker recently sparked debate after delivering a commencement address to the 2024 graduating class at Benedictine College that touched on topics like gender roles, Pride Month, and President Joe Biden. With Butker’s words igniting intense debate and many offering their views across social media, we decided to investigate how AI…

8 minutes read
By Amber Roberts | 8 minutes read
LLM Evals LLMOps Phoenix Responsible AI
llmops tools abstract

Why Enterprise Executives Should Be Hip To LLMOps Tools Heading Into the New Year

From better customer service to more rapid drug discovery, generative AI is quickly reshaping industries. According to a recent survey, 61.7% of enterprise engineering teams now have or are planning to have a large language model application deployed into the real world within a year  – with over one in ten (14.7%) already in production,…

2 minutes read
By Cam Young | 2 minutes read
AI In the Enterprise Generative AI Large Language Models LLM Evals LLMOps ML Observability Responsible AI
scales of justice

AI Ethical Issues Unraveled: Building a Fair, Transparent, and Responsible Future

In recent years, AI has permeated nearly every aspect of our lives, from healthcare and finance to education and entertainment. As AI technologies continue to advance, so do the ethical challenges associated with their development and implementation. What are AI Ethics? AI ethics refers to the moral principles guiding the design, development, and deployment of…

6 minutes read
By Sally-Ann DeLucia | 6 minutes read
Responsible AI
model fairness and bias

Evaluating Model Fairness

In many ways, bias and fairness in AI are two sides of the same coin; bias is a result, fairness is an action. Bias is inherently present in the world around us and is where prejudice is put into practice (consciously or unconsciously). Fairness is the absence of prejudice or preference for an individual or…

9 minutes read
By Sally-Ann DeLucia | 9 minutes read
Responsible AI
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