
Our mission has always been about abolishing inequity in the workplace, even as the language around that work has shifted. We believe the future of work must lead to this end-goal. It’s how we get there that’s evolving. Given that everything seems to be changing all at once, we’re focused on how to navigate these changes without losing each other. As long as we have to work together (and we don’t see that ending anytime soon, robots notwithstanding), shared humanity has to stay at the center.

“Ethical AI” has become one of those terms that sounds (and is!) important but may be confusing for those newer to the AI space. So let’s break down its meaning so that it’s useful to you, no matter if you’re an HR leader or a people manager trying to make good decisions about AI. It’s Not Just About Bias (But Yes, It’s About Bias) When people hear “ethical AI,” they may jump straight to algorithmic bias, and they’re not wrong to. AI systems trained on historical data will reproduce historical inequities unless someone actively works to prevent that.

AI tools are shaping who gets hired, who gets promoted, who gets flagged as a retention risk, and who gets passed over entirely. However, these tools aren’t neutral and carry real human biases that carry real weight. Where Does AI Bias Come From? AI systems learn from data. When that data reflects historical patterns of exclusion, the AI learns those patterns too and often amplifies them.

We’ve been busy adding to the Inclusion Library, and this latest batch of resources spans everything from how women thrive in remote learning environments to the surprisingly tricky design choices behind pay transparency. Here’s what’s new and why we think each one is worth your time. With a Little Help from My (Girl) Friends: Field Evidence on Gender Homophily and Women’s Training Outcomes in Remote EnvironmentsThis study published in Organization Science offers the first causal evidence on how peer gender composition shapes women’s career outcomes in remote training settings.

In a previous post, we explored how a PESTLE analysis helps organizations move from being reactive to acting strategically by mapping the external forces shaping their environment. That’s encompassed in the Systems pillar of our SHIFT consulting framework, which is all about understanding what’s happening around you. It’s important to note that you can have the sharpest environmental scan in the world and still watch your change initiative collapse. This is because the forces that actually determine whether change takes hold are found below the surface. An estimated 60–70% of organizational change initiatives fail.

We’ve got great news for our Massachusetts clients. The Workforce Training Fund Program is now accepting applications for State Fiscal Year 2026. commcorp That means funding is available right now to invest in your team’s growth and we’ve just expanded our workshop catalog to give you even more to work with. Here’s the quick breakdown on funding: The Express Program offers grants of up to $15,000 per organization per calendar year, with up to $3,000 per employee per course. The General Program offers up to $125,000 for two-year training grants.

Big news: the Inclusion Geeks Library is officially live at library.inclusiongeeks.com! 🥳 If we had a dollar for every time someone said, “I want to keep learning, I just don’t know where to start,” we’d have a very well-funded library. The inclusive workplace space is full of content. Articles, reports, frameworks, toolkits, research studies, think pieces. The challenge isn’t that resources don’t exist; it’s that finding credible, useful ones without spending hours down a rabbit hole feels nearly impossible.

Our February 2026 webinar tackled one of the most pressing questions in the future of work: can AI actually be ethical? Here’s what we covered. Last week, our fearless Co-Founder Felicia Jadczak facilitated a live webinar exploring what it means to use AI ethically inside an organization and whether “ethical AI” is even achievable. With attendees joining from across the globe and the chat moving a mile a minute, it was a rich conversation that raised as many questions as it answered, which isn’t surprising given the novelty of this space.

Two major reports on gender and work dropped this week. Read separately, they tell familiar stories, but read together, they reveal something harder to ignore. The first is the 11th annual Women in the Workplace report from McKinsey and LeanIn.Org, released December 9th. It tracks women’s advancement in corporate America including pipeline representation, promotion rates, sponsorship, and corporate commitments. The headlines have been appropriately alarmed: companies are rolling back their commitment to women’s advancement. For the first time in the study’s history, women report less interest in being promoted than men and progress is stalling or reversing.

2025 may go down as the year many of us got real clarity on what’s at stake in the future of work: power. Who gets to define what work is? Who controls how it’s organized? Who has agency, and who’s just along for the ride? The signals have been building for years, but 2025 brought them into plain sight. Middle managers are losing their voice. AI is unbundling jobs faster than workers can adapt. People are leaving traditional employment not because they want to, but because the old agreement of loyalty for stability no longer holds.

Our November session brought together a thoughtful group ready to dig into how cultural differences shape our workplace experiences. Felicia talked through the many ways background, identity, upbringing, and social norms influence how we communicate, interpret information, give feedback, handle conflict, and define what “professionalism” looks like. We explored why misunderstandings happen even when intentions are aligned, and how cross-cultural awareness helps teams move from assumption to clarity. We reflected on our own experiences as a group, everything from differing comfort levels with mental health conversations to clashing approaches to work-life boundaries, and how these differences show up in day-to-day…