Stewarding AI & Data: What You Can Actually Do
AI is a stress test for whatever governance you already have.
If your systems reward speed, ambiguity, and pretty dashboards, AI will happily accelerate all three.
This page is for people who want more than vibes and outrage, people who want levers.
3 concrete levers + 3 tools you can use this quarter.
What’s really going on
We didn’t set out to build surveillance machines and lawsuit factories. We built tools to connect people, then handed the steering wheel to growth targets, defaults, and branding.
Most “AI gone wrong” stories share three features:
Defaults that quietly normalize overreach
Incentives that reward speed and scale over judgment
Veto power that is symbolic, not real
We don’t just have an AI problem. We have an incentives‑and‑ambiguity problem with better marketing.
[skip to the levers]
Three levers for real stewardship
You can’t fix everything at once. You can start pulling on three specific levers: defaults, incentives, and veto power.
1. Defaults
Every “normal” is a choice someone made:
Camera‑on by default in a world that never really consented to being recorded
Performance tools where “Meets Expectations” is the safest rating because honest feedback is punished
Dashboards with growth curves and no visibility into who is being excluded or harmed
Try this
List three defaults in your team and ask for each one:
Who benefits from this default?
Who absorbs the risk or the harm?
Use that list as a simple “defaults audit” with your team.
2. Incentives
Metrics are like gravity. They quietly pull behavior toward them.
If all your key charts point up and to the right—revenue, engagement, model performance, but none of them track trust, reversibility, or harm, values drift is guaranteed.
Try this
Take one important metric (for example, time‑to‑ship, conversion, or model accuracy) and pair it with a counter‑metric (for example, number of exceptions raised, user complaints, documented harms, or reversals). Track them together for one quarter.
If you only feed the growth curve, don’t be surprised when the conscience curve flat‑lines.
3. Veto power
If no one has explicit authority to pause or stop an AI or data deployment, you don’t have governance. You have vibes.
Common signs
“Ethics” is a brand story, not a veto right
Concerns are handled with “we’ll take that offline” and never resurface
People who raise red flags are thanked in public and sidelined in private
Try this
For one high‑risk system or decision, explicitly define:
Who can pause it
Under what conditions
What the review path is after a pause
Write it down. Communicate it. Use it at least once.
Practical prompts for defaults, incentives, and veto power.
If you’re inside the machine
You see the drift. You’re the person who notices when:
The model “kind of” discriminates, but ships anyway
The new policy looks clean, but guts trust
The growth curve is beautiful, and the ethics slide is vague
You don’t need a new job title to act. You need a few repeatable moves.
You can:
Run a 60‑minute governance stress test on one project:
What are the current defaults?
What are we measuring, and what are we not measuring?
Who can actually say “no,” and what happens if they do?
Add a values checkpoint to an existing meeting:
One standing question: “Who gets harmed if we’re wrong?”
One follow‑up: “Where will that show up in our metrics or feedback?”
Document and escalate without relying on heroics:
Capture concerns in writing
Route them through at least one formal channel (risk, compliance, ombud, works council), not just hallway talk.
You don’t have to be the hero. You do have to stop letting everything stay unsaid.
If you sign the things
If you’re a founder, executive, or board member, you control three things that matter most:
What gets measured
What’s “normal” by default
Who can say “no”
You can:
Commission a governance stress test on your AI or data roadmap
Add one stewardship KPI to the leadership scorecard (for example, number of paused or adjusted launches for governance reasons, not just performance)
Formalize stop/pause authority for high‑risk systems—and back it when it’s used
If “no” can’t be said without career damage, every “yes” is already compromised.
When one voice isn’t enough
Sometimes the problem isn’t courage. It’s architecture.
When formal mechanisms fail, people are turning to:
Coordinated walkouts and strikes
Collective letters and petitions
Professional associations, unions, and watchdog organizations
Think of these as the informal amendment process when the official channels are blocked.
You don’t have to start a movement. You can:
Support one organization that is already watching the space
Join or strengthen one collective channel in your field
Refuse to let every concern be framed as an individual “performance issue”
Stay in the stewardship loop
If you want ongoing tools, stories, and analysis on:
Defaults and design
Metrics and values drift
Language, power, and AI
You can subscribe to occasional updates—no spam, no outrage bait—just levers.
AI will accelerate whatever governance you already have.
The question is whether your systems can hear “no” in time.