Insights on AI in the Workplace #responsibleai
Algorithmic Bias Harms the People You Claim to Serve
AI is built on data, data we’ve built over decades, data we’ve freely given, data with inherent bias. For nonprofits and local governments using AI tools the risk is real and underexamined. If your nonprofit uses an AI screening tool to sort grant applications, volunteer inquiries, or job candidates, have you delved into the system design and its training data? AI bias overlaps across system design and development (tech) AND AI governance, values and culture (organization)
There’s a Lot of People Trying to Sell You AI Solutions
Many vendors are eager to sell AI tools before they understand your strategy, culture, and real readiness for adoption. This post explains why “buying a tool” is not the same as achieving outcomes-and how a human-centered, organization-first approach prevents stalled rollouts, leaked data, and misaligned automation.
AI-Powered Automation Assessment
Learn why change management often determines whether AI adoption succeeds or gets abandoned within months. Using the AI-Powered Automation Assessment as a case example, this post highlights the gaps that policies and governance documents can’t solve on their own-employee fear of job displacement, cultural readiness, psychological safety, and stakeholder trust. It provides a pragmatic view of how to pair governance with communication, training, and leadership behaviors that support sustainable adoption.