Our commitment to building a trustworthy platform.
Powered by the world’s most dynamic talent network, AI at LinkedIn unlocks new ways for customers and members to connect to opportunity with clarity, confidence, and control.
These core Responsible AI Principles guide all our work at LinkedIn:
- Advance Economic OpportunityÂ
- Uphold TrustÂ
- Promote Fairness and InclusionÂ
- Provide Transparency
- Embrace Accountability
Advance Economic Opportunity
Our products leverage a skills taxonomy to promote equal treatment—focusing on what members can do, not where they come from.
Uphold Trust
We take a proactive approach to privacy, security, and safety— ensuring our AI products earn trust through rigorous assessments, safeguards, and defense in depth strategies.
Promote Fairness and Inclusion
LinkedIn’s cross-functional Responsible AI team designs solutions and guardrails (e.g. our fair model analyzer and mitigation trainer) to ensure generative AI tools proactively address potential bias and discrimination.
Provide Transparency
We empower our customers with transparency and education, so they can make informed choices about how they engage with generative AI.
Embrace Accountability
We embed robust governance from the start– cross-disciplinary assessments and human oversight ensure our AI systems stay accountable, trustworthy, and aligned with our Responsible AI.
AI Explainability: Hiring Assistant Spotlight
Hiring Assistant’s models were reviewed for equal treatment and harmful content, helping to identify, investigate, and mitigate any detectable biases. Built on trusted, real-time data from 1+ billion members, Hiring Assistant delivers high-quality shortlists and uncovers candidates you’d otherwise miss.
How do recruiters use Hiring Assistant?
Recruiters choose the roles they want to use Hiring Assistant for and specify the qualifications they’re seeking in candidates. Hiring Assistant aides by refining those qualifications into better search queries and retrieving and displaying candidates that match the recruiter’s chosen qualifications.
Keeps humans in control of decision making
Hiring Assistant does not make autonomous or automatic decisions. Hiring Assistant ensures humans remain central to the hiring process, mitigating excessive reliance on automation.
Complies with AI regulations
LinkedIn complies with applicable law in the jurisdictions where our products are offered. We strive to provide the resources that enable our customers to assess and ensure their compliance with laws and regulations that apply to them.
Does not process sensitive personal data
Hiring Assistant does not require the processing of sensitive personal data provided by customers. Additionally, it does not evaluate based on characteristics such as (but not limited to) name, age, gender identity, race, religion, sex, and disability. Hiring Assistant is powered by data from LinkedIn’s economic graph—information that members and companies share and update on LinkedIn.
Addresses bias, privacy and safety via testing and in-product safeguards
Hiring Assistant’s models were reviewed for equal treatment and harmful content- helping to identify, investigate, and mitigate any detectable biases. Additionally, any user inputs that prompt Hiring Assistant to return sensitive personal data will result in the user being blocked from proceeding until removed.
Sources, evaluates, and shortlists candidates based on your hiring criteria
Hiring Assistant transforms the recruiter’s hiring qualifications into several search queries, and evaluates candidate profiles to assess how well they align with the role’s qualifications to deliver a shortlist. Candidates are then ranked based on how closely they meet the recruiter’s hiring qualifications, as well as other interest signals.
Hiring Assistant is trusted by
Product Explainability Resources
