In an era where artificial intelligence is reshaping how we work, hire, and build teams, the question isn't just about what AI can do—it's about what AI should do. At GetScreened, we believe that powerful technology demands even more powerful ethics.
Our Ethical AI Manifesto isn't just a document. It's our commitment to every candidate who trusts us with their career journey, and every company that relies on us to find their next great team member. These principles guide every line of code we write, every model we train, and every decision we make.
Why Ethics Matter in AI Hiring
Hiring decisions change lives. A job offer can transform someone's career trajectory, provide financial security, and open doors to new opportunities. Conversely, unfair screening processes can perpetuate biases, limit diversity, and deny talented individuals the chances they deserve.
When we introduce AI into this high-stakes process, we don't just automate decisions—we amplify their impact. That's why building ethical AI isn't optional for us. It's foundational.
Our Three Core Principles
1. Learning and Respecting Human Preferences
Our AI is designed to learn and adapt to human preferences through continuous interaction and feedback.
We recognize that hiring isn't a one-size-fits-all process. Different companies have different cultures, values, and needs. Different roles require different competencies and characteristics. And candidates come from diverse backgrounds with unique experiences and strengths.
Our AI learns from:
- Recruiter feedback: When hiring managers provide input on candidate matches, our system learns what "great fit" means for your specific organization
- Candidate interactions: We analyze how candidates respond to questions, their communication styles, and their demonstrated skills—not just their resume keywords
- Outcome data: By understanding which hires succeed and thrive in your organization, we continuously refine our matching algorithms
- Cultural context: We acknowledge that values and expectations vary across cultures, industries, and regions, and our AI respects this diversity
This adaptive approach ensures that our AI becomes more helpful and accurate over time, without imposing rigid, one-dimensional criteria on the nuanced process of human talent evaluation.
2. Transparent Explanation of Actions and Decisions
We believe users have the right to understand how and why decisions are made by our AI systems.
"Black box" AI has no place in hiring. When our system evaluates a candidate, recommends a match, or flags a concern, we provide clear explanations. Not vague platitudes, but specific, actionable insights.
Our transparency commitment includes:
- Explainable scoring: Every candidate evaluation comes with detailed reasoning—which skills were demonstrated, how responses compared to role requirements, and what factors influenced the assessment
- Bias detection reports: We actively monitor our AI for potential bias patterns and provide regular reports on demographic distributions and fairness metrics
- Decision audit trails: Every AI-influenced decision is logged and can be reviewed, ensuring accountability and enabling continuous improvement
- Open methodology: We document our AI training processes, data sources, and evaluation criteria, making our approach accessible for scrutiny
Transparency isn't just about trust—it's about improvement. When recruiters understand why the AI made specific recommendations, they can provide better feedback, helping the system learn and evolve.
3. Operating Within Rigorous Safety Parameters
We maintain strict safety boundaries to prevent harmful consequences, with continuous monitoring of ethical guidelines.
AI safety in hiring means protecting both candidates and companies from potential harms:
- Bias prevention: We regularly audit our models for discriminatory patterns based on protected characteristics like race, gender, age, or disability
- Privacy protection: Candidate data is encrypted, anonymized where appropriate, and never used for purposes beyond the stated hiring process
- Human oversight: Our AI augments human decision-making—it never replaces it entirely. Final hiring decisions always involve human judgment
- Fail-safe mechanisms: If our system detects unusual patterns, potential bias, or data anomalies, it flags these for human review rather than proceeding automatically
- Compliance framework: We align with GDPR, EEOC guidelines, and other regulatory standards to ensure legal and ethical compliance
Safety isn't a feature we bolt on at the end. It's embedded in our architecture from day one, continuously tested, and actively maintained as our systems evolve.
Putting Principles Into Practice
These aren't aspirational values—they're operational realities. Here's how we implement them daily:
- Diverse training data: We train our models on diverse, representative datasets that reflect real-world candidate populations
- Regular bias audits: Our team conducts quarterly reviews of AI outcomes, analyzing results across demographic groups to identify and correct disparities
- Candidate feedback loops: We survey candidates about their experience and use this feedback to improve our interview processes
- Ethics board: Internal review processes ensure new features and models are evaluated for ethical implications before deployment
- Open communication: We publish annual transparency reports detailing our AI practices, challenges, and improvements
The Journey Ahead
Ethical AI isn't a destination—it's an ongoing commitment. Technology evolves, social norms shift, and we continuously discover new challenges and opportunities. We don't claim to have all the answers, but we commit to asking the right questions and seeking solutions collaboratively.
We invite candidates, hiring managers, researchers, and anyone passionate about ethical technology to engage with us. Challenge our assumptions. Share your experiences. Help us build something better.
Because at the end of the day, AI is just a tool. What matters is how we choose to use it—and at GetScreened, we choose ethics first.
Join Us in Building Fair Hiring
Whether you're a company looking to transform your hiring process with ethical AI, or a candidate seeking fair evaluation opportunities, we're here to make the journey transparent, respectful, and effective.
Explore our platform, ask questions, and experience the difference that ethical AI can make in hiring.