AI Recruiting — Built Responsibly

AI-Assisted Recruiting

JobTalk uses AI to assist recruiters with candidate engagement, screening, and scheduling. Our AI agents communicate via voice, SMS, and email to streamline the recruiting workflow — helping staffing firms reach more candidates, faster.

Human-Controlled Outcomes

AI is never the sole decision-maker in hiring outcomes. Our platform is designed to surface insights and automate outreach, while recruiters review candidates and make all final decisions.

What AI Handles

• Screening for role fit — location, availability, skills, and experience
• Multi-channel candidate communication via voice, SMS, and email
• Interview scheduling and calendar coordination
• Generating candidate scorecards and screening summaries

Clear AI Disclosure

Candidates are informed when they are interacting with an AI-powered assistant. During voice calls, SMS flows, and email interactions, candidates receive clear notification that the interaction is powered by AI technology.

Purpose Transparency

We clearly communicate the purpose of each AI interaction — whether it is for initial screening, qualification, scheduling, or follow-up engagement — so candidates understand how AI is being used in their hiring process.

Aligned with Disclosure Requirements

Our disclosure practices are designed to align with transparency requirements under regulations including the NYC Automated Employment Decision Tools (AEDT) law, California AI regulations, and the Colorado AI Act.

Recruiters Stay in Control

JobTalk is designed to augment recruiters — not replace them. All hiring decisions remain human-controlled, and recruiters can intervene at any stage of the candidate engagement process.

Built-In Safeguards

• Live call transfer to human recruiters available during AI conversations
• Recruiter review and approval of candidate evaluations
• Human override capability at every stage of the workflow
• Full audit trail of AI interactions and recruiter decisions

Our Commitment

We are committed to reducing bias in AI-assisted hiring. JobTalk continuously evaluates its AI models and monitors for unintended bias to support fair and equitable recruiting outcomes.

How We Address Bias

• Ongoing evaluation of AI models for fairness across demographic groups
• Monitoring for unintended bias in screening and engagement patterns
• Bias detection reports available to help clients maintain fair hiring practices
• Continuous improvement processes informed by audit findings

Audit-Ready Systems

JobTalk is actively building audit-ready systems aligned with emerging AI regulations, including independent bias audit capabilities as required under the NYC AEDT law and similar frameworks.

Candidates Retain Control

We believe candidates should always have a say in how they are evaluated. Our platform is built to respect candidate autonomy throughout the hiring process.

What Candidates Can Do

• Request to speak with a human recruiter at any time
• Opt out of automated communication (reply STOP or press 0 during a call)
• Access information about how AI is used in their evaluation
• Request a human review of any AI-assisted decision

Explainability

Candidates can request information about the factors that influenced their screening outcome. We are committed to providing clear, simple-language explanations of how our AI evaluates candidates — aligned with explainability requirements under the Colorado AI Act and similar regulations.

Privacy-First Architecture

We prioritize privacy, security, and responsible data handling across every layer of the JobTalk platform. Personal data is handled via secure infrastructure with strict access controls.

Security Measures

• TLS/SSL encryption for all data in transit
• AES-256 encryption for data at rest
• Role-based access controls and least-privilege principles
• Regular third-party security audits and penetration testing
• SOC 2 Type II certified infrastructure

Responsible Data Practices

• No unauthorized use of personal data
• No use of individual candidate data for AI model training without explicit consent
• Controlled API access with aggregated and anonymized usage data
• Clear data retention policies with configurable retention periods