Insights on AI in the Workplace #Is AI in nonprofits ethical?
Do It for the Algorithm!?!
What Will The Algorithm Reward? This is often the first question that pops in my head when I sit down to write for my blog or my next Linkedin post. Authenticity takes time and we’re all trying to figure out how to protect it.
COLORING OUTSIDE THE LINES - AI Didn't Kill Individuality, We’ve Been Doing That All On Our Own.
Coloring Outside the Lines🎨 The students who thrived in school were usually the ones who learned how to perform to the standard, color inside the lines, and learn in a way that aligned to the state curriculum. Organizations are no different. If we want AI that actually makes room for human variation, neurodivergence, cultural difference, and the full spectrum of human expression, we must: revisit what we've elevated as 'ideal' in our organizations
Ethical AI Is Harder Than It Looks
There’s A Great Deal Of Movement, Protest, Pushback, and Deep Research As It Relates To AI. 🗣️ The government is slow at every level. Innovation outpaces oversight. So what can we actually control? I'm also actively looking for research participants for my fellowship project on AI and human agency in the workplace. DM me if you're interested.
BUY NOW - PAY LATER! Before AI Can Solve Anything, Your Organization Has to Know What It's Actually Solving For
Organizations Are Buying AI Tools Without Clearly Understanding What Problem They Are Actually Solving? AI governance grounded in organizational development principles asks: • What is our vision and does AI serve it? • What do our people need to do their best work? • Who is most affected by this tool, and are their voices heard? Durable AI strategies start with people and purpose, not tech platforms.
ATTENTION LEADERS!!! They don’t need another training module or pep talk
Real democratization requires a human being who meets people where they are, no algorithm required.
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)
Community Engagement & Stakeholder Alignment Facilitation
Ensuring AI initiatives serve communities, nonprofits, government entities - not just corporate goals.
Guardrails and Innovation are Polarities to Leverage, Not Either/Or
AI governance frameworks like ISO 42001 and the NIST AI Risk Management Framework are positioned here as scaffolding for better, more consistent decision-making-not bureaucracy that kills momentum. The article challenges leaders to balance AI hype with legitimate risk, choose an adoption pace aligned to organizational values and readiness, and build guardrails that enable teams to experiment safely. It concludes with a call to action for organizations seeking tailored, capacity-appropriate AI guardrails that support long-term adoption rather than short-lived pilots.
Building a Security Culture Has Never Mattered More
Building a Security Culture Has Never Mattered More outlines the shift from traditional, easily spotted phishing to sophisticated AI-driven attacks that exploit urgency, authority, and trust. It argues that security is not solely an IT function, but a leadership and change management challenge requiring clear guardrails, repeatable practices, and reinforcement over time. The post connects cybersecurity readiness to sustainable AI adoption, urging organizations to build awareness, policies, and norms that help employees act confidently when something doesn’t feel legitimate.