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As generative AI tools seep into legal workflows, mistakes are increasingly making their way into official proceedings. This session presents an ongoing project to document and analyze instances where hallucinated content - fabricated cases, statutes, or legal reasoning - was introduced in litigation or judicial decisions. 

InjectLab is a first-of-its-kind, open source ATT&CK-style matrix for LLM-specific threats: a structured, visual framework that maps real-world prompt injection, role hijacking, memory abuse, system prompt leakage, and more into a unified language for defenders, red teamers, and educators alike.

In Alex Zinoviev's session at The Artificial UnIntelligence Conference, you’ll see real-world examples, strategies, and practical ways to embed AI into your operating model to move faster, scale smarter, and make better decisions. Learn what sets them apart and how to start building one today.

AI is fundamentally transforming the nature of work, altering roles, workflows, and tools. It offers opportunities for accelerated decision-making, enhanced customer engagement, and scalable efficiency. However, it also prompts concerns regarding job displacement and algorithmic bias.

At The Artificial UnIntelligence Conference, we have practitioners talking with you about what they have done to use AI to enhance worker productivity by extending their capabilities, not by replacing their jobs. Here are six of those sessions that you help you envision how AI can help you with your work, not replace you.

How effective is AI, really, at catching sophisticated threat actors? Drawing on both practical experience and the latest research this talk takes a candid look at the promise and reality of AI in security operations.

AI is ubiquitous and impacts our lives every day.  At the same time, there is a lot of misunderstanding and fear around AI.  We will take a realistic look at the state of AI technologies and discuss current real world applications that are having huge positive impacts in a number of different applications. 

In my presentation, I will show you how I built this virtual expert with ChatGPT and Casetalk, using Large Language Models (LLMs).

What began as a single, haunting one-liner—a scientist alone behind the moon, glimpsing reality’s fracture—blossomed into Desolate, a gripping tale of isolation, quantum anomalies, and human will, all in less than 100 man-hours. With the aid of Grok, xAI’s AI collaborator, this book evolved from a fleeting idea into a layered narrative, its chapters forged through rapid-fire iteration and real-time refinement.

Discover how forward-thinking marketers are using AI to enhance transparency, build trust, and protect brand integrity. Whether you're driving strategy or execution, you’ll gain practical tools to apply ethical AI across personalization, engagement, governance, and cultural sensitivity—while delivering real, measurable impact.

Russell examines the opportunities that AI presents for organizations. She also considers the risks, challenges, and ethical considerations — focusing in depth on how AI can be implemented to support human ingenuity, rather than replace it.

This session tells the story of how we bottled human knowledge (gently), modeled it into taxonomies and ontologies (with only minor headaches), and let it dance with unstructured data to create an unusually clever Large Language Model.

Case Study: AI eliminated 5000 man-hours monthly without displacing a single person