Leslie Farinella joined as President of Content Rules in Oct 2024.

With a background in engineering, software development, process optimization, content strategy, and instructional design, Leslie has spent the last 25 years solving complex business problems within Fortune 1000 companies – first working as a consultant and then delivering technical solutions while serving as Chief Strategy Officer at Xyleme, a leading CCMS for Learning.

Leslie believes that value generation is about mastering the ability to identify the crux of the problem through a deep understanding of the user experience, devising a feasible path forward, and then executing that plan with laser precision using a mix of business processes, change management, and technology.

When she’s not solving problems, you can find Leslie outside – reading, gardening, or walking on the beach.

Inclusive Content In The AI Era: Bias, Culture, And Who Gets Left Behind

Dipo Ajose-Coker Solutions Architect RWS Group (Moderator)
David Alley, SVP, Tridion & Fonto, RWS
Amber Swope, Information Architecture Consultant, DITA Strategies 
Erik Bremer Sr. Director, Global Content Engineering, Dell

Bias is inherent in our everyday lives. But when AI becomes part of the content toolchain, it can scale clarity, or it can scale confusion, exclusion, and risk.
The difference is rarely the model. It is the choices we make about data, labels, objectives, review, and what we consider “good enough” when customers live in different cultures, languages, and contexts.

This panel makes inclusive content practical for content leaders adopting AI. We will unpack the “bias supply chain” from authoring and training data through summarization, translation, and delivery. We will share examples of how cultural expectations differ, why that matters for customer experience, and what governance and review patterns reduce harm without slowing everything to a crawl. You will leave with a simple checklist you can apply in real workflows, plus a clear sense of where human review is non-negotiable (bias points to test, cross-cultural QA prompts, “red flag” outputs, mitigation options).

In this session, you’ll learn how to:

• Spot the “bias supply chain” in content operations—authoring, training data, retrieval, summarization, translation, and delivery.
• Run a lightweight “inclusive content risk assessment” that fits real deadlines.
• Handle cross-cultural variation without creating 200 versions of everything (and without pretending one global tone fits all).
• Put human review where it reduces risk the most, not where it feels comforting.
• Set governance that supports teams instead of policing them.