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Artificial Intelligence Resources
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Driving Innovative Client Solutions
At FTI Technology we drive innovative client solutions to solve data-related business challenges. Innovative technology, expert services and tenacious problem-solving provide our global clients with defensible and repeatable solutions. Technology plays a key role in turning large and complex volumes of data into information that enables businesses to make informed decisions.
Blog Post
FTI Technology’s data innovation lab leads cutting-edge research, development and testing across the most disruptive technologies. Our experts have a strong track record of creating novel solutions, workflows and practice areas in e-discovery, digital forensics, analytics, machine learning, emerging data sources, blockchain and more. This article series provides a peek behind the curtain of our ongoing work relating to the implications of ChatGPT and other large language models (LLM) in e-discovery.
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Exploring the Potential Impact of Generative AI on Legal Operations
Presentation to the Association of Corporate Counsel on ethical considerations and pitfalls.
Blog Post
FTI Technology’s data innovation lab is committed to leading research, development and testing at the front end of the most disruptive technologies. Our experts have a strong track record of pioneering solutions, workflows and practice areas in e-discovery, digital forensics, analytics, machine learning, emerging data sources, blockchain and more. This article is the first in a series of posts that will share findings from our labs relating to the implications of ChatGPT and other large language models (LLM) in e-discovery.
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What AI Can Learn from Privacy: Recommendations for AI Governance
FTI Consulting Senior Managing Director, Nina Bryant, joined IAPP Principal Researcher, Katharina Koerner, CIPP/US to discuss findings from the IAPP report on responsible AI and privacy. This webcast covers:
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Findings From the Report on Responsible AI and Privacy Governance
FTI Consulting Senior Managing Director, Jake Frazier, joined IAPP Principal Researcher, Katharina Koerner, CIPP/US to discuss findings from the IAPP report on responsible AI and privacy. This webcast covers:
Blog Post
When Google engineer Blake Lemoine announced last year that the AI chat bot tool he had helped develop had achieved sentience, and that it possessed a soul, many people reacted with fear and concern. That wave continued with the seemingly overnight emergence of ChatGPT into the mainstream. To many, these developments seemed like science fiction come to life — that technology advancement had unwittingly crossed into an age where artificially created intelligence was on track to supersede that of its creators. The resounding question was: will this lead to mass job losses, or worse?
White Paper
2023 Privacy and AI Governance Report
This report explores the state of AI governance in organizations and its overlap with privacy management. We focused on companies’ change processes when striving to use AI according to responsible AI principles such as privacy, accountability, robustness, security, explainability, fairness and human oversight. This study aims to report on different approaches to governing AI in general and to explore how these nascent governance efforts intersect with existing privacy governance approaches
Blog Post
Understanding the Differences and Benefits between Artificial Intelligence and Machine Learning
Artificial intelligence (AI) and machine learning (ML) may be among the most over-hyped buzzwords of the last decade. Still, behind the hype, these technologies have tangible and meaningful applications that can help companies gain insights into large volumes of unstructured data, support predictive decision-making, improve customer experience and detect vulnerabilities, among other things. Given the accelerating pace of change within organizations and across technology advancements, it can be difficult for business leaders to stay abreast of the benefits and risks associated with AI and ML as well as the key differences between these evolving technologies.
Blog Post
The AI and Investigations Paradigm: Faster, More Precise, Defensible
The average e-discovery matter today involves more than 6.5 million pages of documents. In complex, multi-national matters and high-stakes internal investigations, data volumes are often much higher. Outdated manual processes and reluctance to leverage advanced tools to find key information from within large, diverse data sets are resulting in excessive time, cost and complexity in bringing matters to a swift and defensible conclusion.
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Emerging Fairness and Transparency Considerations in Artificial Intelligence
In this webinar Jon Asprey, (Managing Director at FTI Consulting), Thomas Hammp, (Senior Technical Staff Member – AI Governance at IBM) and Oscar Hayward (Associate at Latham & Watkins), explore what organisations could and should be doing to prepare for increased AI adoption.