Microsoft Use-case
Humanly builds our products using Microsoft's Responsible AI Framework, which prioritizes individual rights, privacy, non-discrimination, and non-manipulation.
Talent is your most valuable, finite resource, and a key to sustainable success. At Humanly, we approach talent acquisition with first principles in ethical AI—ensuring every decision respects individual rights, is free from bias, and amplifies human potential rather than replacing it.
Enhance human potential
According to a Deloitte survey of Talent Acquisition experts on what they see as the biggest opportunities for AI in recruiting.
Improve hiring outcomes
Talent Acquisition teams often struggle to balance a seamless candidate experience with the need for scalability. AI is changing that by:
Reducing administrative tasks for recruiters and candidates
Enhancing the quality of interactions even in shorter hiring cycles
Providing actionable insights to identify what works and what doesn’t in the pipeline
This allows teams to maintain a high-quality experience while pursuing ambitious hiring goals. At Humanly, we’re embracing this transformation ourselves by integrating AI agents into our own organizational structure, empowering our teams to work smarter, focus on what matters most, and achieve more together.
AI done wrong
Attempts to address problems that don't actually exist, wasting resources.
Amplifies biases, spreading them across systems at scale.
Fails to uphold privacy protections, risking sensitive data.
Lacks transparency, leaving users in the dark about how decisions are made.
AI done right
Increases speed, efficiency, and quality in processes.
Enhances human capabilities, enabling teams to achieve more.
Facilitates learning with rapid insights that drive better decisions.
Reduces risks through built-in transparency and robust guardrails.
AI-the-right-way fades into the background once implemented, extending human potential and doing tasks that humans don’t want to do in the first place, better. Conversational AI with guardrails, explainability, and grounding in facts builds human connections, promotes clarity, and minimizes risk.
In a world without federally mandated requirements for AI ethics, Humanly is stepping up, leaning into the responsibility of ensuring fairness, transparency, and trust in every hiring interaction.
Humanly believes responsible AI use within hiring can be both equitable as well as efficient, helping HR, hiring teams, and candidates to live up to their potential using conversational AI.
Our ethical AI journey
Humanly’s founding team brings extensive experience in AI, with a deep focus on building solutions for talent acquisition. We empower recruiters with unmatched choice, flexibility, and access to top-tier technology. For example, by integrating with multiple leading large language models (LLMs), we ensure candidates receive the most accurate and relevant responses. This makes recruiting workflows more seamless and effective.
Microsoft Use-case
Humanly builds our products using Microsoft's Responsible AI Framework, which prioritizes individual rights, privacy, non-discrimination, and non-manipulation.
Microsoft Use-case
Humanly's ongoing collaboration with Fairnow has helped establish new benchmarks for responsible AI usage in recruitment. In the words of Humanly CEO and Co-Founder Prem Kumar, "with Fairnow's help, we have been able to show, not just tell, our commitment to best-in-class ethical AI practices for our customers, users, and community."
AI Now Use-case
Part of New York University, the AI Now Institute produces interdisciplinary research to “measure and understand the effects of AI in society; work with those directly impacted by the use of AI to shape standards and practices that mitigate harm and inform just AI deployment; and help shape a rigorous and inclusive field focused on these issues.”
Humanly CEO Prem Kumar stays involved with the AI Now community through commitments like guest lecturing at NYU on AI use in HR settings.
Data & Society Use-case
Data & Society, a non-profit research organization, is committed to the notion that “empirical evidence should directly inform the development and governance of new technology.”
Humanly actively incorporates Data & Society's findings and recommendations into our product design.
EAIDB Use-case
We've been named one of the top 260 responsible AI enablement companies by the Ethical AI Database, a research organization that works extensively with EAIGG and BGV to monitor the space.
