David Alley is Senior Vice President of Tridion & Fonto at RWS, leading the global business and go-to-market strategy for its content technology solutions. He has over 15 years of experience driving revenue growth, transformation, and strategy across tech organizations. David has held leadership roles at RWS, Maverick Solutions, Salesforce, Optimizely, and CareerBuilder, helping businesses modernize customer engagement, scale technology, and turn innovation into value. At RWS, he focuses on intelligent content, exploring how structured content, AI, and agentic technologies reshape how organizations manage and deliver trusted information.

He is passionate about bridging the gap between tech innovation and customer outcomes, moving beyond AI hype to find practical use cases. Based in Raleigh, North Carolina, with his wife and three sons, David enjoys traveling, family farm life, and coaching youth sports.

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

Dipo Ajose-Coker Solutions Architect RWS Group (Moderator)
Amber Swope, Information Architecture Consultant, DITA Strategies 
Leslie Farinella, President, Content Rules
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.