Holistic AI, the main AI governance platform for the enterprise, right now introduced the launch of Holistic AI OSL, an optimized open-source library designed to assist builders construct truthful and accountable AI techniques. AI architects and builders can now entry the library, which offers superior instruments for eliminating bias and bettering explainability. Holistic AI OSL empowers groups to create extra clear and reliable AI functions from the bottom up, fostering a safer setting of innovation and experimentation to profit society. For extra data, go to the Holistic AI weblog or obtain the library for Python, which is out there right now freed from cost with none licensing necessities.
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“Our new library equips organizations with instruments for all AI dangers, together with explainability, robustness, and bias. It helps measurement, reporting, and mitigation at each stage of the AI lifecycle, providing some of the superior options for bettering high quality in AI functions right now”
Organizations more and more depend on AI techniques in important areas comparable to recruitment and onboarding, healthcare, mortgage approval and credit score scoring, the place equity is paramount. It’s important that algorithms don’t inadvertently discriminate, making certain equal remedy for demographic teams and people. Whereas AI has made important advances in prediction accuracy, current research point out that 65% of AI researchers and builders nonetheless establish bias as a serious problem1.
Holistic AI OSL tackles this problem by offering instruments that handle the 5 key technical dangers related to AI techniques, making certain better accountability. Particularly, OSL affords:
- Bias Mitigation: Introduces over 35 bias metrics throughout 5 machine studying duties and offers 30 methods to assist builders eradicate bias of their techniques.
- Explainability: Defines the system’s habits by revealing how fashions make selections and predictions, fostering transparency and constructing belief.
- Robustness: Ensures fashions carry out constantly, even when confronted with challenges like adversarial assaults or variations to enter information.
- Safety: Supplies safeguards for consumer privateness by means of anonymization and defends towards dangers like attribute inference assaults, enhancing total safety.
- Efficacy: Ensures fashions should not solely correct however keep equity, robustness, and safety beneath numerous circumstances, balancing these components by means of detailed testing in real-world eventualities.
“Our new library equips organizations with instruments for all AI dangers, together with explainability, robustness, and bias. It helps measurement, reporting, and mitigation at each stage of the AI lifecycle, providing some of the superior options for bettering high quality in AI functions right now,” stated Adriano Koshiyama, Co-CEO of Holistic AI. “Our aim is to assist AI notice its full potential. Whether or not by means of this open-source library or our complete AI governance platform, we’re dedicated to empowering companies to speed up AI innovation throughout their enterprise — enabling them to finish extra tasks efficiently with out dealing with dangers, compliance points, or bias, all whereas monitoring towards the anticipated ROI.”
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As one of many prime world insurers working in virtually 40 international locations throughout 5 continents and serving over 30 million clients worldwide, MAPFRE is leveraging AI as a part of its innovation technique round steady enchancment of its buyer experiences, processes, and operations. Holistic AI OSL, in addition to the total Holistic AI Governance Platform, are part of MAPFRE’s know-how line up.
“What units this library aside is its depth — it’s not nearly figuring out AI dangers however actively addressing them with confirmed, industry-ready mitigation strategies, making it an important a part of any moral AI growth toolkit,” stated César Ortega, Knowledgeable Information Scientist at MAPFRE.
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