Explore the best alternatives to BABL AI for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to BABL AI include reliability and ease of use. The best overall BABL AI alternative is Kanarys. Other similar apps like BABL AI are Elevate, Warden AI, Assessment Standards Institute, and APTMetrics. BABL AI alternatives can be found in AI Bias Audit Services but may also be in Diversity & Inclusion Consulting Firms.
Improve inclusion and equity in your workplace with Holistic DEI Assessments, Benchmarking, and Solutions
ere at Elevate, with our multi-disciplinary team of governance, cyber security, privacy, data science and machine learning professionals we believe we can tackle all the facets of AI governance and requirements for auditing and control points and provide assurance to board of directors, audit, risk management and software engineering professionals. We imagine a world where accountability for proper implementation of AI is at the forefront of board of directors, senior management, and investors.
Warden AI is an AI assurance platform for validating fair, compliant, and trustworthy AI systems for HR tech. Schedule a demo to learn more!
We offer a well-structured and flexible AI Quality testing and auditing framework, which combines automated tools based on the ISO 29119-11 international standard for testing AI-based systems and human expertise.
At Mosaic, we follow a rigorous algorithm bias auditing approach in alignment with the AI Risk Management Framework developed by the National Institute of Standards and Technology (NIST). Our team is helping to shape the future of AI Regulation in the U.S. as part of the NIST’s AI Safety Institute Consortium. What you can expect when hiring Mosaic for Bias Audits & Ethical AI
ORCAA’s dual mission is to help define accountability for algorithms, and to keep people safe from harmful consequences of AI and automated systems. Whether it’s a hiring algorithm, healthcare AI, predictive scoring system, or generative AI platform, we are here to think about how it could fail, for whom, and what you can do to monitor and mitigate these risks. We are actively developing frameworks and governance approaches to help companies and organizations use algorithms and AI safely – confirming these technologies perform as intended and operate within sensible guardrails. We help our clients realize the transformative benefits of AI, while avoiding discrimination, bias, and other problems.