The Element Of Inclusion

Why should you care about inclusion? Here I explain how I approach this topic in the age of AI. In this episode we cover: Why people are tired of inclusion How we think about these issues Why you should make your own mind up If you want to go further When we work with clients we gather evidence to serve one purpose: to support or undermine a claim, an assumption or a hypothesis. It stops you build...

If your professional advantage depends on skills AI can replicate, the compounding has stopped. Here I explain how AI broke the Matthew Effect. In this episode we cover: How scarcity drives the Matthew Effect Why repeatable expertise stopped compounding How to audit which skills still compound If you want to go further When we work with clients we gather evidence to serve one purpose: to support o...

If you're worried about being replaced by AI. I think it's still possible to have a fulfilling career. Here I trace the career equation I've followed for 15 years. In this episode we cover: Why AI accelerates the rare skills principle How to spot skills losing their rarity How a 15-year career equation still works If you want to go further When we work with clients we gather evidence to serve one...

If you need research backed principles to make inclusion work, here I share 5 from my PhD tested in over a decade of client work. In this episode we cover: How group identity decides who gets ahead Why trust can't live in a policy document Why your colleagues edit themselves before they speak If you want to go further When we work with clients we gather evidence to serve one purpose: to support or...

If leaders reject your evidence, they have a competing interpretation and your case has only done half the work. Here I unpack how to complete it. In this episode we cover: Why data and evidence are not the same How competing interpretations block action How to use 4 sources in both directions If you want to go further When we work with clients we gather evidence to serve one purpose: to support o...

If you can't define bullying, you can't cost it. Here I break down the research definition, the causes and what it costs your business. In this episode we cover: The 3 elements of workplace bullying  How working conditions predict bullying at work Why the cost of bullying is understated in your business  If you want to go further When we work with clients we gather evidence to serve one purpose: t...

If you started your inclusion work without gathering evidence for the problem, you can't prove what changed. Here I unpack why. In this episode we cover: Why most inclusion work starts without evidence How little evidence you actually need Why no evidence in means no evidence out If you want to go further When we work with clients we gather evidence to serve one purpose: to support or undermine a...

    If you followed the discussion around Professor Jason Arday, you heard confident voices with no relevant expertise. Here I unpack why. In this episode we cover: Why opinion and expertise are not interchangeable How ALIGN evaluates whether someone is worth trusting Why emotional appeals bypass your critical thinking If you want to go further When we work with clients we gather evidence to serve...

f your team runs cultural events all year with no measurable outcome, your calendar is producing visibility, not progress. Here I break down why. In this episode we cover: Why attendance and engagement are false proxies How Flags, Food and Fun replace progress Why busy is the worst thing to be If you want to go further When we work with clients we gather evidence to serve one purpose: to support o...

If you call your work evidence-based but can't define evidence in one sentence, that's a structural gap. Here I break down what the term requires. In this episode we cover: How data collection differs from evidence generation Why classifying claims builds personal diagnostic skill How 4 evidence sources expose organisational blind spots If you want to go further When we work with clients we gather...

If your AI dashboard looks healthy but your decisions haven't improved, here I unpack 3 AI mistakes hurting your inclusion work right now. In this episode we cover: Why AI is an inclusion problem now How more dashboards hide worse decisions Why AI adoption doesn't mean AI capability If you're finding that your AI tools are generating more reports but your decisions haven't improved, start here: ht...

If 450 episodes have taught me one thing, it's that every inclusion failure traces to missing evidence. Here I unpack the idea that survived them all. In this episode we cover: How every inclusion failure traces to one gap How 4 evidence sources create a complete foundation Why scrutiny strengthens work built on evidence If you're finding that your inclusion work keeps getting questioned because t...

If you're making inclusion decisions without a system for testing whether your assumptions are true, I break down the 3 frameworks I use with clients every week. In this episode we cover: How 4 evidence sources ground every client decision Why assertions without evidence deserve dismissal How to separate claims from testable hypotheses If you're finding that your inclusion decisions are built on c...

If AI makes your juniors better but leaders keep cutting them, your talent pipeline breaks down. Here I trace the mispricing no one is naming. In this episode we cover: How AI lifts novice performance more than experts Why polished output misleads leaders about junior value Why cutting entry-level roles starves future leadership If you're finding that your leaders are cutting the people AI improve...

If the inclusion projects you start keep quietly slipping away, your work never compounds. Here I unpack how to fix the leaks. In this episode we cover: Why every body of work quietly leaks How correcting yourself protects what you built Why starting small builds the bigger arc If you're finding that the inclusion work you start keeps slipping away before it sticks, start here: https://implementat...

If your team uses AI but nobody is building judgement, the gap is forming now. Here I break down three modes of AI use and why only one builds skill. In this episode we cover: How adoption metrics hide a growing capability gap Why the most common AI mode builds nothing When polished output disguises missing judgement Resources referenced in this episode: Dell'Acqua, F. et al. (2024). Cyborgs, Cent...

If your organisation measures AI adoption by usage, the metric masks a deeper gap. Here I break down what the best AI organisations measure instead. In this episode we cover: Why AI competency requires evidence not usage How unspoken assumptions shape your AI culture Why your future team won't be entirely human If you're finding that your AI work produces activity but no measurable outcomes, start...

If your inclusion results rest on circumstantial evidence, you take credit you cannot defend. Here I explain how to look for causation. In this episode we cover: How circumstantial evidence masquerades as proof Why good work can produce wrong conclusions How the 3 I's test causation If you're finding that you can't prove your results actually belong to you, start here: https://realitycheck.element...

If AI fluency in your organisation means learning tools, the thinking underneath is being skipped. Here I break down a 4 step framework. In this episode we cover: Why human thinking is non-negotiable with AI How vague prompts mirror vague inclusion strategies Why AI adoption has an ethos problem If you're finding that AI is reshaping decisions faster than your processes can keep up, start here: ht...

If most inclusion content leaves you frustrated, I explain the nine filters that separate serious practitioners from everyone else. In this episode we cover: How content design filters for serious leaders Why evidence separates credible work from performance How core principles outlast trends and recognition If you're finding that your inclusion work earns praise but struggles to earn trust, start...

If your inclusion work looks busy but nothing is actually changing, one question exposes why. Here I break down the question that changed everything. In this episode we cover: Why activity data never counts as evidence How reporting misalignment makes you invisible When one question protects your entire role If you're finding that your work produces impressive activity reports but leadership still...

If your inclusion work keeps producing activity but not lasting results, the foundation is the problem. Here I break down why the long way is actually the shortcut. In this episode we cover: Why skipping diagnostic work guarantees failure How foundational effort compounds over time When quick wins collapse under scrutiny If you're finding that your initiatives look good on paper but nothing sticks...

If your organisation treats AI as a technology problem, the people decisions it shapes go unchecked. Here I explain why managing AI is an inclusion problem. In this episode we cover: Why the experience of exclusion is becoming universal How inclusion skills apply directly to AI decisions Why "people are most important" is being challenged If you're finding that AI is reshaping how decisions get ma...

If leadership is using AI as permission to stop investing in people, that is an inclusion decision. Here I break down why. In this episode we cover: How AI gave leadership permission to withdraw investment Why productivity targets are assumptions not claims When broken infrastructure makes AI strategy impossible Episodes referenced: Why "We Have Copilot" Is Not A Modern HR Strategy I Asked 100 HR...

If 'We have Copilot' passes for your AI strategy, you're scaling decisions you can't explain. Here I examine three structural risks. In this episode we cover: Why having Copilot is an untested assumption How AI scales broken systems at speed Why HR owns AI consequences, not IT Episodes referenced: The Incentive Problem of Diversity and Inclusion I Asked 100 HR Leaders If They Use AI. Here's What T...