Looking for alternatives or competitors to Idiro Analytics? Other important factors to consider when researching alternatives to Idiro Analytics include reliability and ease of use. The best overall Idiro Analytics alternative is Kanarys. Other similar apps like Idiro Analytics are BABL AI, Adaptive.AI, ORCAA, and Elevate. Idiro Analytics 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
Since 2018, BABL AI has been Auditing and Certifying AI Systems, Consulting on Responsible AI best practices, and offering Online Education on related topics.
Adaptive.AI specializes in providing comprehensive services to ensure compliance with New York City's Automated Employment Decision Tools (AEDT Law, also known as Local Law 144. This legislation mandates that employers and employment agencies conduct independent bias audits and obtain certification for all AEDTs utilized in hiring and promotion processes. Adaptive.AI offers both pre-audit services to prepare organizations for compliance and independent third-party audits as required by the law. Key Features and Functionality: - Pre-Audit Services: Adaptive.AI assists organizations in evaluating their current AEDTs to identify potential compliance issues and implement best practices before undergoing formal audits. - Independent Third-Party Audits: As certified auditors in the Foundations of Independent Audit of AI Systems and NYC AEDT Bias Audit, Adaptive.AI conducts impartial evaluations to ensure AEDTs meet legal standards. - Consulting Services: The company provides expert guidance on aligning AI-powered recruitment tools with ethical standards, focusing on mitigating biases and enhancing diversity and inclusion initiatives. Primary Value and Problem Solved: Adaptive.AI addresses the critical need for organizations to comply with NYC's AEDT Law, thereby mitigating legal risks associated with non-compliance. By ensuring that automated hiring tools are free from bias, Adaptive.AI helps companies maintain a fair and transparent recruitment process, enhancing their brand reputation and fostering trust among job candidates. This proactive approach not only safeguards organizations against potential penalties but also promotes ethical AI usage in employment decisions.
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!
The Assessment Standards Institute offers comprehensive bias audit services tailored to comply with New York City's regulations on Automated Employment Decision Tools (AEDTs. These audits are designed to identify and mitigate potential biases in employment decision-making processes, ensuring fairness and transparency in hiring and promotion practices. Key Features and Functionality: - Independent Third-Party Audits: Conducted by impartial experts with no financial ties to the employer, ensuring objectivity. - Comprehensive Bias Assessment: Evaluates potential disparate impacts based on sex, race, and ethnicity in AEDTs. - Regulatory Compliance: Ensures adherence to New York City's legal requirements for bias audits in employment practices. - Detailed Reporting: Provides summaries of audit findings, including data sources, demographic breakdowns, selection rates, and impact ratios. Primary Value and User Solutions: By partnering with the Assessment Standards Institute, organizations can proactively address and rectify biases in their employment decision tools, fostering a more equitable workplace. This not only ensures compliance with New York City's regulations but also enhances the organization's reputation for fairness and inclusivity, ultimately leading to a more diverse and effective workforce.
Trilateral Research can help you understand if you are impacted, and offers an all-encompassing, unbiased audit to aid your organization in achieving appropriate compliance. We possess years of proficiency in the fields of data ethics, data protection, and compliance support, and can cater to organizations of all sizes.
APTMetrics offers comprehensive bias audit services designed to help organizations identify and mitigate biases within their employment practices. These audits are essential for ensuring fairness, compliance with legal standards, and the promotion of an inclusive workplace culture. Key Features and Functionality: - Comprehensive Analysis: Conducts thorough evaluations of employment processes to detect potential biases. - Data-Driven Insights: Utilizes advanced statistical methods to provide objective assessments. - Customized Solutions: Offers tailored recommendations to address identified biases effectively. - Regulatory Compliance: Ensures alignment with Equal Employment Opportunity (EEO laws and guidelines. - Ongoing Support: Provides continuous monitoring and guidance to maintain bias-free practices. Primary Value and User Benefits: APTMetrics' bias audits empower organizations to foster equitable employment practices by identifying and addressing unconscious biases. This proactive approach not only enhances diversity and inclusion but also minimizes legal risks associated with discriminatory practices. By partnering with APTMetrics, companies can build a more inclusive culture, improve employee satisfaction, and strengthen their reputation as fair and responsible employers.
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.