Responsible AI
At Findem, responsible AI isn't a statement: it's a system. We combine proactive governance, independent compliance audits, and human oversight so every AI-assisted decision in our platform is designed to provide explainability and context for AI-assisted outputs and aligned with the human rights and regulations that matter to our customers and their candidates.
Running a security or AI‑governance review?
Our Trust Center has the documentation reviewers ask for, covering information security, data privacy, employment fairness, and AI transparency. Most documents open after you request access.
Have a question the documents don't answer? Email trust@findem.ai
Explore how our Responsible AI system comes to life
Read our latest blog on responsible AI, access our Trust Center, or visit our Education Center to learn more.
Latest blogs
- Beyond the resume: Unlocking veteran talent with AI
- AI hiring laws in 2027: What Colorado, Connecticut, and California require
- From the black box to the boardroom
- Codifying judgment: Why Studio's real responsible AI story starts with humans
- Protecting personal data in the age of AI
- AI governance in HR: A practical guide
- Can AI become a bias interruptor?
- AI isn't the problem, but poor design can be
- Who is accountable for AI in hiring?
- We asked four TA leaders how they really feel about AI. Here's what they said
- What we mean when we say “Responsible AI”
- Upholding our commitment to privacy, security, and compliance
- Findem completes independent AI bias audit with Warden AI
- The data is in: New research reveals the truth about AI hiring bias
Trust Center
Access our full compliance and policy documentation.
Education Center
How we govern: A gold standard
Our governance program is built on the four pillars of the NIST AI RMF — Govern, Map, Measure, and Manage — operationalized across four pillars: Employment Fairness, AI Transparency, Information Security, and Data Privacy.
Under Employment Fairness, all employment-related decision-making is subject to fairness testing and disparate-impact monitoring across demographic groups.
Under AI Transparency, roles and accountability for the full AI model lifecycle are defined at the executive level. Every AI function in our platform is documented and bounded, and we disclose our use of commercial foundation models from OpenAI, Anthropic, and Google.
Under Information Security, admin audit logs, role-based access controls, and a defined incident response process keep AI outputs continuously monitored.
Under Data Privacy, candidate rights are honored globally with all data subject requests tracked and reported.
Compliance you can verify
We embed transparency, accountability, and fairness into every stage of our AI lifecycle, guided by clear internal policies, continuous monitoring, and cross-functional oversight. Our approach ensures that our technology not only meets evolving regulatory expectations but also earns the trust of our customers and their candidates. We invite you to explore how this commitment comes to life across our key pillars. Each pillar is mapped to the regulations it serves:
Employment Fairness
AI Transparency
Data Privacy
Information Security
Global oversight, local compliance
Findem covers candidates at a global level with 850M+ worldwide profiles. We are committed to building and deploying our systems responsibly by combining strong governance with rigorous compliance practices across geographies.
Human-in-the-loop by design
Findem's AI is human-first. Model outputs are reviewed, approved, or overridden by people before they inform hiring decisions.
Human-first AI that measurably improves hiring quality without introducing bias
Findem is committed to ensuring that AI enhances fairness, transparency, and inclusivity in employment decisions. Our platform, encompassing assistive, agentic, and model context protocol, supports human judgment by making initial candidate recommendations, and leaves final hiring actions expressly to the human. Findem is not intended to be used as an automated employment decision tool.
Regulatory coverage
Our employment fairness program is built to meet the obligations that apply across US federal, state, and local jurisdictions.
Findem controls
- Disparate-impact testing
- At least annual independent bias audits
Independently audited results
Findem's most recent third-party bias audit, conducted by Warden AI, returned fairness scores at or near parity across every demographic group tested. The audit summary is publicly available at trust.warden-ai.com/findem/ai-applicant-matching.
How we use AI ethically and responsibly
Findem does not permit its products, including its AI tools, to impermissibly discriminate on the basis of any characteristic protected by law. Our platform is designed to support diverse candidate slates by:
- Surfacing candidates on objective, job-relevant criteria, widening the aperture and helping teams discover new talent.
- Focusing AI on skills and experience signals so teams can engage a broader, more qualified candidate pool while mitigating biases that may be evoked by demographic cues.
- Using a probabilistic, aggregate-level approach (drawing on and enhancing methodologies similar to those used by the U.S. Census Bureau) to provide customers with insights into the overall diversity of candidate pipelines. Findem gathers gender and ethnicity using public datasets solely for bias auditing and fairness testing. When EEOC data is provided via customer ATS integration, that data is used in place of the probabilistic insight and is displayed within the product for that customer only.
For additional insight, see Slow Thinking Fast: How AI Trumped Human Bias
Questions about our bias audit or employment fairness program? Reach us at trust@findem.ai
SOC 2 Type II certified; continuous monitoring
The protection of our clients' and partners' data is central to everything we do. Findem has built a talent data platform with reliability and security at its core — backed by annual third-party audits, continuous monitoring, and role-based controls — so companies can adopt Findem with confidence. For questions about our security policies, reach out to trust@findem.ai. To report a security or privacy vulnerability, click here.
Findem protects data from unauthorized access, use, and disclosure using physical, technical, organizational, and administrative security measures appropriate to the type of data and how Findem processes it.
Certifications and audits
- SOC 2 Type II (Active): Annual independent audit by Johanson Group. Audit cycle ongoing.
- Continuous monitoring via Vanta: Always-on evidence collection and control monitoring across our environment between audits.
How Findem handles these reports
For the protection of our customers, Findem doesn’t disclose, discuss, or confirm security issues until our investigation is complete and any necessary updates are generally available.
Rights honored globally, decisions made by humans
Findem is a matching platform, not a browsing platform. The information Findem indexes about an individual is only surfaced when that person's attributes match a specific role. Our privacy program is designed to meet, and in most cases exceed, the obligations of the NIST Privacy Framework.
For questions about our privacy policies, call +1 800 214-1467.
Global Regulatory Coverage
Findem actively monitors and complies with privacy laws across the jurisdictions where we operate around the world:
- Candidate data governed under applicable laws around the world.
- Findem transfers personal data subject to appropriate safeguards.
- Rights honored at the high water mark: Findem applies the most stringent applicable standards. Where a candidate exercises a right recognized in one jurisdiction, Findem honors it globally.
Privacy Policy
Findem has published a distinct and comprehensive privacy policy, effective June 1, 2026. The policy covers use of the Findem platform as well as visits to the findem.ai website.
Data processing
Findem is a registered data broker and the controller for platform data we collect directly. For candidate data managed inside a customer's Applicant Tracking System, Findem acts as a data processor, and the customer's privacy policy governs that data.
Data Subject Rights
Individuals contacted via the Findem platform always retain the ability to change, correct, or delete their information and unsubscribe from campaigns. Only consenting candidates are added to Findem customers' Applicant Tracking Systems, and customers can add an unsubscribe link to any email or campaign sent from the Findem platform.
You have the right to:
- Access: Confirmation of what we hold about you, plus a portable copy.
- Delete: Removal from Findem's Talent Data Cloud.
- Correct: Correction of inaccurate data on file. Port: A machine-readable export of your data.
- Opt-out: Exclusion from processing.
Exercising any of these rights will never affect your service quality.
Opt-out
If at any point you wish to have your information removed from Findem's database or updated, you can do so via the Privacy Rights page, or by calling +1 800 214-1467. To correctly process a request, we ask for your email address; this information is removed from our systems once the request has been processed.
Lawful basis and retention
Findem processes personal data on the basis of contractual necessity, legitimate interest, or consent, depending on the data type. Reference our Information Security page above for details on how we encrypt and protect information.
Data processing
Findem's Data Processing Addendum →
Cookies and no-index policies
Outputs, designed to provide explainability and context; decisions, human
Findem builds AI you can inspect. You can see what information shaped every recommendation, and a person always reviews the results before they influence a hiring decision.
How AI works within the Findem Platform
Our product suite includes Findem, Getro, and Glider.ai.
Findem's AI is human-first: it helps recruiters work faster and more consistently, but never makes hiring decisions. We use commercial foundation models from OpenAI, Anthropic, and Google, applied to the following specific use cases inside the platform:
- Resume Parsing
- Engagement & Outreach
- Candidate Insights & Sorting Studio
- Data & Discovery
- Copilot Results & Candidate Order
- Findem Intelligent Assistant in Search
- Findem Intelligent Assistant in Voice
- Fraud Detection
- Recruiter-Supervised Agentic Sourcing
- Findem Studio and MCP
For each use case, model selection, system boundaries, and known limitations are documented, and a human reviews and approves AI-generated outputs before they reach candidates or influence hiring actions.
Getro products use commercial foundation models from OpenAI, Google, and Voyage AI, applied to the following specific use cases inside the platform:
- Job Extraction Pipeline
- Job Data Enrichment
- Skill Extraction & Normalization
- Contact Enrichment
- Natural Language Contact Search
- Personalized Email & Company Blurb Generation
- Semantic & Hybrid Job Search
Glider.ai uses AI‑enabled models and autonomous agents from OpenAI and Amazon Rekognition, applied to the following specific use cases within the platform:
- AI‑Enabled Proctoring (Optional Sub‑Set)
- AI Evaluation of Video & Verbal Responses
- AI Evaluation of Written & Essay Responses
- AI‑Driven Question Generation from Job Descriptions
- AI‑Powered Identity Verification (ID Verify)
- Conversational AI Recruiter – Phone Screening
- Conversational AI Interviews (Browser‑Based)
What our AI does not do
Our AI does not reject candidates. It does not make hiring decisions. It does not score people on protected characteristics.
Human-in-the-loop by design
Findem operates in what we call human-first deployment mode: our platform prepares, surfaces recommendations, and explains, but humans make the final decisions. This is a deliberate design choice, not a gap. As autonomous and agentic AI capabilities mature across the industry, our roadmap is expanding with strict adherence to governance standards, auditability, and regulation. Every candidate scorecard, profile summary, and message draft is a recommendation to a recruiter, with the final decision-making process remaining under the human’s purview and theirs alone.
Responsible AI: Taught by practitioners, built for talent leaders
This resource center serves to deepen your knowledge of how AI can be built and used responsibly and increase your practical fluency. Whether you are a customer, partner, or industry practitioner, this space is designed to help you go beyond the basics with actionable insights, expert perspectives, and hands-on learning opportunities across the evolving landscape of responsible AI.
Thought leadership
Solidify your understanding with Findem’s latest perspectives on responsible AI. Our thought leadership goes beyond headlines to unpack emerging trends, regulatory developments, and practical guidance for building ethical and trustworthy AI systems.
Read our article Slow Thinking Fast: How AI Trumped Human Bias
- Beyond the resume: Unlocking veteran talent with AI
- From the black box to the boardroom
- Codifying judgment: Why Studio's real responsible AI story starts with humans
- Protecting personal data in the age of AI
- Can AI become a bias interruptor?
- AI isn't the problem, but poor design can be
- AI, ‘executive presence,’ and how to stand out as a leader in today’s hiring environment
- Who is accountable for AI in hiring?
- What we mean when we say “Responsible AI”
Education programs
Build deeper expertise and demonstrate your commitment to responsible AI through Findem’s Responsible AI Innovation Accelerator, comprising education and certification offerings. Our programs are designed for leaders, practitioners, and teams looking to operationalize responsible AI principles within their organizations. Explore the 2026 agenda and session description below.
Month
Curriculum Theme
Speaking Topic & Description
Q1: Future of AI & Work
January
Innovation
Accelerator
Overview
Intelligence on Demand: Inside the Talent Intelligence PlatformAn orientation to the Talent Innovation Accelerator program and its core tool — the Talent Intelligence Platform powered by Findem. Covers the platform's capability to deliver immediate visibility into talent markets, candidate pools, and company statistics, and how participants will use it throughout the year for research, search, and applied learning.
February
The Future of AI & Work
The Judgment Worker: Human Value in the Age of Agentic AI. As AI evolves from assistant to agent to autonomous companion, this talk maps what remains distinctly human. Covers the evolution of AI in recruiting — co-pilot, agentic, autonomous — and makes the case that leadership in the AI era means knowing when, and how, to override the model.
March
Evolution of Human Value
From Knowledge Worker to Judgment Worker: Skills Transformation in the Second Machine Age. Examines AI adoption through the lens of the first and second machine ages — and what the shift means for how we define, develop, and deploy human talent. Includes a live demonstration of AI-enabled judgment recognition and its implications for executive development.
Q2: AI & Decision Making
April
Intelligent Talent Decisions
Intelligent Talent Decisions: Measuring What AI Actually Changes.
Explores the anatomy of AI-assisted decisions in talent — what AI measures, where it improves on humanjudgment, and how to evaluate its real impact. Draws on Findem's Innovation Accelerator research and theCalifornia Management Review publication on AI and cognitive bias.
May
External Data Translation & Search
Slow Thinking Fast: How AI Improves Slate Quality, Diversity, and Speed.
How external talent data, translated through AI, changes who gets found — and who gets overlooked. Covers the research finding that recruiting AI outperforms both human baselines and general-purpose AI on quality,diversity, and speed, with implications for executive search and board recruitment.
June
Internal Data Curation & Succession
From Compliance to Competitive Advantage: Responsible AI as Succession Strategy. Combining internal and external talent data to power AI-driven succession planning and high potential identification.Explores how organizations that govern AI well — with audited models, transparent outputs, and humanoversight — build a sustainable talent pipeline and reduce executive risk.
Q3: AI Governance
July
AI & Employment Fairness
Inclusive by Design: Overcoming Human Bias Through Responsible AI.
Addresses all three NIST bias types — systemic, computational, and human-cognitive — and how Findem's audited approach to employment fairness addresses each. Covers adverse impact testing, demographic parity monitoring, and the regulatory landscape.
August
AI & Data Privacy
Data Privacy in AI-Powered Talent: What Candidates Deserve to Know.
How to generate talent insights while safeguarding candidate rights — access, deletion, correction, and opt-out. Covers global privacy obligations, lawful basis requirements, and what genuinelyprivacy-respecting AI design looks like in practice.
September
AI Usage & Transparency
The Black Box Problem: Unlocking Explainable AI in Talent Contexts.
Draws on NIST to examine what accountability and explainability actually require of AI systemsused in hiring. Explores how building trust through transparency — surfacing contributing signals, enablinghuman override, maintaining audit logs — becomes a competitive differentiator.
Q4: AI Ethics
October
Human-in-the-Loop
Board Readiness in the AI Era: Oversight When It Matters Most.
Examines the spectrum from AI-assisted to fully agentic systems — and what meaningful human oversight looks like at each stage. Equips board directors and aspiring directors with the governance vocabulary and fiduciary frameworks they need to oversee AI-enabled organizations.
November
Design Accountability
Designing Accountability: Who Is Responsible When AI Gets It Wrong?
Accountability is a design choice, not an afterthought. This session explores how responsibility is assigned — or evaded — across the AI model lifecycle, what responsible model training requires, and how organizations can build systems where humans remain genuinely accountable for outcomes.
December
Integrity & Trust
Integrity and Trust: Developing the Human-AI Relationship for the Long Term.
Synthesizes the year's insights on what it takes to build durable trust between humans and AI systems — inorganizations, in talent markets, and in governance frameworks. Closes with a forward look at the 2027 horizon: where responsible AI in talent is headed and what leaders need to prepare for now.
Speaking engagements
Learn directly from Findem’s experts through industry events and live sessions. We regularly share deeper insights at partner conferences and webinars.
Browse our 2026 engagements below:
Engagement
Date
Organization
Location
The Current Board Recruitment Landscape
January 14, 2026
Virtual
Pathways to the Venture-Backed Board
February 12, 2026
San Francisco
Executive Search Roundtable
February 25, 2026
Virtual
Inclusive AF Podcast
February 25, 2026
Virtual
Stanford Women's Circles
March 7, 2026
Stanford
Transform Conference
March 25, 2026
Las Vegas
AI in Action: Immersive Industry Day at CGU
April 24, 2026
Claremont
AMER Global Summit on Leadership
April 27–28, 2026
New York
AGB Search Annual Meeting
May 14, 2026
Virtual
The Future of Work and Responsible AI Adoption in APAC
June 9, 2026
Virtual
Responsible AI Fireside Chat
June 11, 2026
San Francisco
Aspiring CXO Academy / Engage
July 21–22, 2026
Las Vegas
Academy of Management Annual Meeting
July 31–August 4, 2026
Philadelphia
APAC Global Summit on Leadership
September 2–3, 2026
Hong
Venture Capital Value Creation Summit
September 10, 2026
San Francisco
Grace Hopper Conference
October 26–30, 2026
Anaheim
EMEA Global Summit on Leadership
November 16–17, 2026
London
Stay Connected
For questions or to learn more about our programs and events, reach out to us at innovationaccelerator@findem.ai or follow along through our latest blog updates.
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