Hogan Assessments
Hogan Assessments provides science-based personality assessments - chiefly the Hogan Personality Inventory (HPI), Hogan Development Survey (HDS), and Motives, Values, Preferences Inventory (MVPI) - used to predict workplace performance for employee selection and development.
HireAIScore rates Hogan Assessments 47 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed July 17, 2026. Hogan Assessments ranks 25 of 49 vendors rated in Assessment AI, against a category average of 48. That score is drawn from 26 evidence items across 7 rubric criteria for Hogan Assessments — 20 with a cited source, 6 recording that nothing was located.
§ 01 - Company facts
- Legal name
- Hogan Assessment Systems, Inc.
- Founded
- 1987
- Headquarters
- United States · US
- Pricing tier
- Mid
- Market side
- Employer-side (AEDT)
- Categories
- Assessment
- Website
- hoganassessments.com
These are company details, not findings. They are editable by a verified representative and carry no weight in the score, which is built only from the cited evidence below.
§ 02 - Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%50
+10.0 · category avg 53
- 02
Bias Audit Transparency
Weight 18%44
+7.9 · category avg 47
- 03
FRIA Support
Weight 15%36
+5.4 · category avg 32
- 04
Data Governance Disclosure
Weight 15%52
+7.8 · category avg 55
- 05
Human Oversight Design
Weight 12%52
+6.2 · category avg 55
- 06
Post-Market Monitoring
Weight 12%40
+4.8 · category avg 39
- 07
Customer Documentation
Weight 8%62
+5.0 · category avg 59
Category avg is the mean raw score on that criterion across the 49 Assessment AI vendors in scope of this rubric, this one included.
§ 03 - Strongest · weakest
Strongest category
Customer Documentation
Raw score 62 · contributes 5.0 to total.
62 against a 59 category average
Weakest category
FRIA Support
Raw score 36 · contributes 5.4 to total.
36 against a 32 category average
§ 04 - Cited evidence
Download diligence record→§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
Evidence ledger
- Items
- 26
- Documentation
- 16
- Public statement
- 4
- Absence
- 6
- With a source URL
- 20 of 26
- Source hostnames
- 1
- Fewest items
- 3
- FRIA Support
These figures measure how thoroughly Hogan Assessments was reviewed, not how Hogan Assessments performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
4 items50
- DocumentationCaptured Jul 17, 2026
Hogan's 'AI at Hogan' page states its algorithms are 'both interpretable and accurate' and that knowing why someone scored is as important as scoring accurately - an explainability statement, though thin.
https://www.hoganassessments.com/science/product-innovations/artificial-intelligence-ai-at-hogan/
- DocumentationCaptured Jul 17, 2026
The 'Why Hogan' page references technical manuals built to UGESP standards and hundreds of validity/reliability studies, but links no downloadable technical pack or model card.
- DocumentationCaptured Jul 17, 2026
A principles-level guide framing transparency and the 'black-box problem' as central to ethical assessment use.
- AbsenceCaptured Jul 17, 2026
No ISO 42001, no EU AI Act Annex IV technical documentation, model card, or instructions-for-use was found across Hogan's science, about, and privacy sections.
Bias Audit Transparency
4 items44
- DocumentationCaptured Jul 17, 2026
A Hogan-hosted, downloadable 2014 document authored by Valerie Stone on adverse impact and discrimination - self-authored and dated rather than an independent audit.
http://www.hoganassessments.com/sites/default/files/uploads/AI%20&%20Discrim%20RS%20111214.pdf
- DocumentationCaptured Jul 17, 2026
The DEI page states Hogan 'regularly monitor[s] the assessments for potential to cause a discriminatory effect' but publishes no metrics, timelines, or audit reports.
https://www.hoganassessments.com/about/diversity-equity-and-inclusion/
- Public statementCaptured Jul 17, 2026
Hogan publicly asserts its tools are not AEDTs and therefore require no NYC Local Law 144 bias audit.
https://www.hoganassessments.com/blog/hogans-position-on-nyc-local-law-144/
- AbsenceCaptured Jul 17, 2026
No independent third-party algorithmic bias audit (e.g., BABL AI, ORCAA, Holistic AI, Warden AI) and no publicly downloadable NYC LL 144 audit summary were found.
FRIA Support
3 items36
- Public statementCaptured Jul 17, 2026
Deployer-facing guidance arguing the tools are out of AEDT scope and should be used as one of many factors - deployer-obligation-adjacent but not a FRIA.
https://www.hoganassessments.com/blog/hogans-position-on-nyc-local-law-144/
- DocumentationCaptured Jul 17, 2026
Advises deployers to demand validity evidence and a statistical adverse-impact evaluation under the Uniform Guidelines, but offers no EU AI Act deployer template.
https://www.hoganassessments.com/blog/our-assessments-dont-discriminate-but-many-do/
- AbsenceCaptured Jul 17, 2026
No EU AI Act Article 27 Fundamental Rights Impact Assessment template or deployer FRIA guidance was found anywhere on Hogan's site.
Data Governance Disclosure
4 items52
- DocumentationCaptured Jul 17, 2026
GDPR page detailing Hogan's processor/sub-processor role, Article 6 legal bases, retention rules, Standard Contractual Clauses, and SOC 2/SSAE 18 controls.
https://www.hoganassessments.com/privacy-policy/gdpr-compliance/
- DocumentationCaptured Jul 17, 2026
Hogan certifies adherence to the EU-U.S. and Swiss-U.S. Data Privacy Framework principles with BBB National Programs dispute resolution.
https://www.hoganassessments.com/privacy-policy/data-privacy-framework/
- DocumentationCaptured Jul 17, 2026
Main privacy policy describes data collected, US-only storage, subprocessor categories, and SSL, but does not address automated decision-making, profiling, or training data.
- AbsenceCaptured Jul 17, 2026
No ISO 27001/42001 certification, training-data disclosure, or data-exclusion list was found.
Human Oversight Design
3 items52
- DocumentationCaptured Jul 17, 2026
Cites APA guidance that only qualified individuals may interpret results, states AI should not interpret assessments, and says subject-matter experts review and approve AI-generated outputs.
- Public statementCaptured Jul 17, 2026
States tools should serve as one consideration among many and that humans, not computers, identify inputs and their importance.
https://www.hoganassessments.com/blog/hogans-position-on-nyc-local-law-144/
- AbsenceCaptured Jul 17, 2026
No documentation of concrete in-product oversight controls such as override mechanisms, audit logs, or per-jurisdiction toggles.
Post-Market Monitoring
4 items40
- DocumentationCaptured Jul 17, 2026
Describes SOC 2/SSAE 18 ongoing controls and provides privacy/data-protection contact addresses for requests and concerns.
https://www.hoganassessments.com/privacy-policy/gdpr-compliance/
- DocumentationCaptured Jul 17, 2026
Offers a BBB National Programs Data Privacy Framework dispute-resolution channel with binding arbitration as a final recourse.
https://www.hoganassessments.com/privacy-policy/data-privacy-framework/
- DocumentationCaptured Jul 17, 2026
States Hogan continuously reviews its measurements to identify possible bias and discriminatory effects.
https://www.hoganassessments.com/about/diversity-equity-and-inclusion/
- AbsenceCaptured Jul 17, 2026
No public status page, security.txt/incident channel, model-update changelog, or continuous monitoring dashboard was found.
Customer Documentation
4 items62
- DocumentationCaptured Jul 17, 2026
Public product/science page describing the assessments' validity, reliability, and fairness basis.
- Public statementCaptured Jul 17, 2026
Dedicated NYC Local Law 144 guidance explaining Hogan's compliance position to deployers.
https://www.hoganassessments.com/blog/hogans-position-on-nyc-local-law-144/
- DocumentationCaptured Jul 17, 2026
Privacy hub linking GDPR, Data Privacy Framework, Standard Contractual Clauses, and CCPA pages, with a DPA/SCC review process on request.
- DocumentationCaptured Jul 17, 2026
An AI-in-assessment guide that, together with the DEI page, functions as a topic hub for compliance-adjacent questions.
§ 05 - Editorial notes
Company overview
Hogan Assessment Systems (dba Hogan Assessments) is a privately held, independent talent-assessment company founded in 1987 by Drs. Robert and Joyce Hogan and headquartered in Tulsa, Oklahoma. Its core products are the HPI (normal, 'bright-side' personality), HDS (derailing, 'dark-side' tendencies), and MVPI (motives, values, preferences), alongside the HBRI cognitive-reasoning inventory, delivered through a network of authorized distributors and partners. The company reports having assessed more than 14 million people, offers assessments in 51 languages across 66 markets, and is used by roughly 75% of Fortune 500 firms. It is grounded in decades of industrial-organizational psychology research, with a large validity archive and staff who publish in peer-reviewed journals.
Regulatory exposure
As a personality assessment used in selection and development, Hogan sits at the heart of employment-assessment regulation, yet it takes the unusual public position that its core tools fall outside the modern automated-employment-decision-tool frame. It published a statement arguing NYC Local Law 144 does not apply because humans (not computers) identify inputs and weights and because the tools are meant to be 'one consideration among many'- so no LL 144 bias audit exists. Under the EU AI Act, assessments used for selection are Annex III high-risk when they qualify as AI systems; Hogan's fixed-key psychometric scoring arguably sits on the boundary, but a separate 'AI at Hogan' page discloses it is exploring machine-learning scoring and uses NLP in backend processes, a tension with its 'we don't use AI' framing. It carries Illinois/Colorado exposure through US enterprise clients, and rests on strong traditional footings (UGESP, SIOP, APA standards, SOC 2, EU-US Data Privacy Framework) rather than AI-Act-shaped documentation.
Path to a higher score
The highest-leverage move is to reconcile the AI-scope question openly: publish an AI-system determination and, wherever ML scoring ships, an Annex IV-style model card, instructions-for-use, and explainability statement rather than a single principles page. Commission and openly publish an independent, dated bias audit (or per-year adverse-impact impact-ratio tables) instead of providing adverse-impact analyses privately to clients, and refresh the 2014 self-authored material. Add explicit EU AI Act deployer guidance and an Article 27 FRIA template, offer a self-service DPA, pursue ISO 42001/27001, and publish a data-governance and data-exclusion statement. For post-market monitoring, stand up a public status page, security.txt, and model-update changelog, and document concrete in-product oversight controls (override, audit logs, per-jurisdiction settings) beyond professional-practice guidance.
§ Regulatory frame
What applies to assessment ai.
Assessment is the most-regulated surface in AI hiring. NYC LL 144, EEOC and OFCCP frameworks, Illinois HB 3773, and EU AI Act Annex III §4 all apply, with overlap on bias-audit obligations.
§ Compare
Build any comparison→Hogan Assessments against its nearest-scoring peers.
In Assessment AI.
§ Others rated in Assessment AI
All assessment vendors→Ranked 25 of 49 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.
- 22VidCruiter48F
- 23The Predictive Index48F
- 24Thomas International48F
- 25Hogan AssessmentsThis profile47F
- 26Gloat47F
- 27Interviewer.AI47F
Conflicts of interest
No vendor pays for placement, scoring, or removal. Casework - the consulting firm that operates this directory - provides paid services to some vendors. Any active or recent (within 24 months) commercial relationship is disclosed on the affected vendor profile and the review is reassigned to an independent reviewer. See the full policy on About.
Casework has no commercial relationship with this vendor.