Responsible AI at ADP

Responsible AI is the core of every decision we make, because trust is what lets you rely on it for the work that matters most.

Human oversight
Data quality
Governance
Culture of responsible AI
Privacy by design
Inclusion and training
Explainability and transparency

Human-led AI, grounded in how work truly happens

Our AI principles keep actions and outcomes fair, transparent and accountable at every step.

Human oversight
Our AI solutions enhance, not replace, human expertise by empowering decision-makers with actionable workforce insights.
Governance
We set a high standard for oversight with rigorous audits, risk assessments and proactive governance to ensure models adapt ethically and reliably to shifting data and conditions.
Privacy by design
Our renowned privacy by design approach embeds advanced protections into our products, enabling global data while helping clients meet compliance obligations.
Explainability and transparency
We design and refine AI solutions with clarity and purpose, delivering products that are accurate, explainable and aligned with client goals.
Data quality
Data is the foundation of AI, so we carefully track and analyze all our sources to maintain precision and reliability in our outputs, even as data evolves.
Culture of responsible AI
ADP’s AI & Data Ethics Committee, comprised of industry leaders and internal experts, continuously drives ethical, compliant solutions aligned with evolving global regulations and emerging laws.
Inclusion and training
Fairness is central to our development process, starting with inclusive teams and supported by investments in workforce skills to bring a range of perspectives to AI innovation.

Our AI principles in action

Learn how our principles are developed with and embedded into our AI-driven solutions.

Case study: Candidate Relevancy

Candidate Relevancy is an AI-enabled recruiting tool designed to help employers with the recruiting process. It works by assessing how closely the skills, education and experience listed on an applicant’s resume match those listed on the job description. Employers can review Candidate Relevancy’s assessment to help determine who to advance in the hiring process.

Development and design
Candidate Relevancy compares an applicant’s skills, education and experience with the requirements of the job description.
Training
Candidate Relevancy is not trained on protected demographic information—gender, age, race, ethnicity, address and so on—and is instead trained on data based on employee skills, education and experience.
User interface
Candidate Relevancy doesn’t remove applicants from the employer’s view; it simply ranks them. Through this design, employers still have access to all candidates and can assess everyone before deciding which candidates to pursue.
Testing
Candidate Relevancy is regularly monitored and tested. A 2024 evaluation conducted by an independent auditor concluded there was no statistical evidence of bias in the candidate recommendations provided by the tool.

Learn from our experts

Navigating AI regulations at work

Helena Almeida, Vice President, Managing Counsel

Best practices for leaders navigating the fast-evolving landscape of AI regulations.
AI & the Future at Work: A Workforce Newsroom Special Report

Jason Albert, Global Chief Privacy Officer | Helena Almeida, Vice President, Managing Counsel | Amin Venjara, Chief Data Officer

ADP experts break down how AI and emerging tech trends are transforming work and what’s next for employers and employees.
Tech in Action: ADP Assist transforms HR data into insights

Naomi Lariviere, Chief Product Owner

Learn how ADP Assist provides valuable and contextual insights that touch every aspect of HR.
AI at Work: Staying ahead of emerging regulations

Helena Almeida, VP, Managing Counsel | Jason Albert, Global Chief Privacy Officer

Best practices for leaders navigating the fast-evolving landscape of AI regulations.
Insights in Action: The potential of AI at work
Sreeni Kutam, President, Global Product & Innovation | Virginia Magliulo, President, Employer Services International | Dr. Nela Richardson, Chief Economist

Insights from top leaders on how to navigate emerging AI technologies in the workplace.
Insights in Action: Vision for the future of work
Sreeni Kutam, President, Global Product & Innovation | Virginia Magliulo, President, Employer Services International | Dr. Nela Richardson, Chief Economist

A forward-looking discussion on how AI is shaping the future of work.

Built ready for tomorrow with Responsible AI

Keep people at the center of your business

Amplify your potential: Get tools that complement, not replace, your decision-makers
Champion inclusion: Drive innovation with solutions shaped by diverse perspectives
Invest in your people: Support your employees with tools that help them focus on high-impact work

Make faster, more confident decisions

Get reliable results: Know you have dependable insights, thanks to robust monitoring
Stay accurate and current: Continuous review means your data reflects the latest trends
Lead with responsibility: Built-in safeguards help keep your business aligned with ethical standards

Earn trust every step of the way

Protect what matters most: Get results to drive business without compromising sensitive data
Unlock opportunities: Plan for the future with transparent insights built on a reliable foundation
Lead the way: Help your business stay compliant while demonstrating your commitment to ethical solutions

Article

Creating the Case for Ethical Artificial Intelligence Solutions

Delve into challenges, guiding questions, and insights from industry leaders to ensure AI-driven talent decisions align with ethical business practices and regulatory compliance.

Learn More