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🎨 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
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.
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.
Ensuring AI initiatives serve communities, nonprofits, government entities - not just corporate goals.
Building organizational AI literacy and governance capacity
Executives facing pressure to adopt AI without clear governance, leaders managing workforce anxiety around AI, and organizations building AI ethics committees could benefit from AI coaching.
Most small businesses, nonprofits, and local government agencies don't have the legal bandwidth to deeply scrutinize every AI vendor agreement. But that doesn't mean you're powerless. It means you need the right questions before you sign. Third-party vendor risk is one of the most underexamined areas in AI governance for small organizations. Don’t allow your vendor's AI practices become your organization's liability.