232 APPS TRACKED · 227 CLAUSES ON FILE · 38 WITH NO CLAUSE TO QUOTE
RECORD OPENED 5 OCT 2026 · 1 CLAUSES ON FILE
health

Does Headspace train on your data?

Headspace lists powering machine-learning algorithms among the uses of your personal information. Whether your data trains them, it never says.

LAST CHECKED
5 Oct 2026 · 5 days ago
CONFIDENCE
unclear
RIGHT OF REPLY
Not yet asked
Verdict
No clause on file

Evidence 1 — All accounts (free and Plus)
Privacy Policy · All accounts (free and Plus)
EVIDENCE 01 OF 01

This clause is real, but it doesn't resolve the training question - see the finding below.

"To power machine learning algorithms that support our Platform"
CHECKED
1 Oct 2026
STILL LIVE AS OF
5 Oct 2026
APPLIES TO
All accounts (free and Plus)
JURISDICTION
global
HOW IT WAS TAKEN
Fetched from the company
SHA-256
8B926BA1…A819

Why this is still UNCLEAR: Headspace holds what a person does at 3am and what they tell a mental- health app about their mood, which makes the AI section worth reading closely. It is more careful than most: AI is defined, its uses are separated into behind-the-scenes work and features you interact with, and the policy promises to tell you before you use one and let you decline. None of that is about inputs. The quoted line puts "machine learning algorithms" among the purposes personal information is used for, and no form of the word "train" appears anywhere in 49,000 characters. Powering a model and training one are different claims, and only the first is made. The AI Features paragraph ends by pointing at a separate page on Headspace's approach to AI, which this site has now captured. It is a statement of philosophy rather than of data use — "We believe AI will not solve the world's most pressing problems by training only on web data" — and it describes Ebb, the AI companion, as "a complex AI system that contains multiple models". Its one operational sentence is about people: staff "review a subset of random Ebb conversations daily for quality assurance and continuous improvement". That is human review of what members tell the companion, in the service of improving it, and still not a statement that those conversations train a model. The pointer has been followed, and the question is open at the far end of it too.

What each plan can refuse

The same questions, asked of every plan we could identify. Every cell comes from a quoted clause or a documented search - see the evidence above.

All accounts (free and Plus)UNCLEAR
OPT-OUT
Not established
RETENTION
Not stated
EXPOSURE
—
DE-IDENTIFIED
—
HUMAN REVIEW
Not established

How to opt out of Headspace AI training

Plan by plan, from what Headspace's own policy says about refusing. Where it publishes the steps, they're listed here with the limits they carry. Where there's nothing to switch off, or nothing graded, this says so instead of inventing a menu path.

All accounts (free and Plus)

Not graded, so no route is pointed at. Headspace holds what a person does at 3am and what they tell a mental- health app about their mood, which makes the AI section worth reading closely. It is more careful than most: AI is defined, its uses are separated into behind-the-scenes work and features you interact with, and the policy promises to tell you before you use one and let you decline. None of that is about inputs. The quoted line puts "machine learning algorithms" among the purposes personal information is used for, and no form of the word "train" appears anywhere in 49,000 characters. Powering a model and training one are different claims, and only the first is made. The AI Features paragraph ends by pointing at a separate page on Headspace's approach to AI, which this site has now captured. It is a statement of philosophy rather than of data use — "We believe AI will not solve the world's most pressing problems by training only on web data" — and it describes Ebb, the AI companion, as "a complex AI system that contains multiple models". Its one operational sentence is about people: staff "review a subset of random Ebb conversations daily for quality assurance and continuous improvement". That is human review of what members tell the companion, in the service of improving it, and still not a statement that those conversations train a model. The pointer has been followed, and the question is open at the far end of it too.

Each step's source and archived copy →

What this policy has done since we started watching

4 CAPTURES SINCE 30 AUG 2026

1 change detected since 30 Aug 2026. Each one is a diff between two archived copies, and each links to the passage that moved.

  1. NotableTouched opt-outs, retention and sub-processors.

Everything we read

DOCUMENT
CHECKED
SNAPSHOT
Privacy Policyquoted
1 Oct 2026
AI Addendum
1 Sept 2026

Vendor response

From the company? What a reply does and what moves a grade.

We haven't yet written to Headspace about this verdict, and they haven't disputed, clarified or announced a change to any clause quoted above. When either happens it's published here, word for word.

Report a wrong clause

Nearest verdicts on file

All 5 in health →

"Same pattern" marks a policy /patterns lists under the same heading as this one. The category has few other entries, so the block is topped up from that heading.

Compared with Calm · Writing about Headspace? Embed this verdict as a card that stays current.