{"id":75223,"date":"2024-05-30T06:48:28","date_gmt":"2024-05-30T09:48:28","guid":{"rendered":"https:\/\/abes.org.br\/?p=75223"},"modified":"2024-05-21T07:04:47","modified_gmt":"2024-05-21T10:04:47","slug":"sas-agrega-model-cards-e-servicos-de-governanca-de-ia-as-ofertas-de-ia-confiavel","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/sas-agrega-model-cards-e-servicos-de-governanca-de-ia-as-ofertas-de-ia-confiavel\/","title":{"rendered":"SAS adds model cards and AI governance services to trusted AI offerings"},"content":{"rendered":"

The goal is to help organizations navigate the turbulent AI landscape by mitigating risks and helping them achieve goals<\/i><\/p>\n

A leader in data and AI, SAS introduces new products and services\u00a0Trustworthy AI<\/a>\u00a0to strengthen AI governance and promote the reliability and transparency of models. Model cards and new AI governance consulting services will help organizations navigate the turbulent AI landscape by mitigating risks and helping them achieve AI goals more confidently. SAS has also published a Trustworthy AI Lifecycle Workflow, mapped by the National Institute of Standards and Technology (NIST) AI Risk Management Framework.<\/p>\n

\u201cOur clients are excited about the potential of AI, but remain cautious about when and how to use it,\u201d says Reggie Townsend, vice president of SAS\u2019 data ethics practice. \u201cThey have good questions about responsible AI and ethics. Our goal is to provide tools and guidance informed by decades of experience to integrate AI, drive profitability while reducing unintentional harm.\u201d<\/p>\n

Model cards: the \u201cnutrition labels\u201d of trustworthy AI<\/strong><\/p>\n

It can be difficult to convert something as complex and sophisticated as an AI model into something understandable for everyone involved in the AI lifecycle. And with the approval of new rules and regulations around the world, the ability to understand and share with regulatory authorities the performance of a model becomes crucial. Model cards, a future feature of SAS\u00ae Viya\u00ae, will be useful to stakeholders throughout the AI lifecycle. From developers to directors, everyone will see the value of a curated tool that supports both proprietary and open source models.<\/p>\n

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Scheduled to launch in mid-2024, model cards are best described as \u201cnutrition labels\u201d for AI models. The SAS approach is to automatically generate model cards for registered models with content coming directly from SAS products, relieving the burden on individual users who need to create them. Additionally, as SAS Viya already has an existing architecture for open source management, model cards will also be available for open source models, starting with Python models.<\/p>\n

Model cards will highlight indicators such as accuracy, fairness, and model drift, which is the deterioration of model performance when conditions change. They also include governance details such as when the model was last modified, who contributed, and who is responsible for it, which allows organizations to internally handle abnormal model performance. The model usage section addresses intended use, out-of-scope use cases, and limitations, which will be key factors as model transparency and auditing will likely be regulated corporate operations. The model cards were presented earlier this year at SAS Insight, an event for analysts.<\/p>\n

\u201cSAS has taken a cautious approach to guiding its customers in adopting artificial intelligence, focusing on the practical realities and challenges of implementing AI in real industry environments,\u201d says Eric Gao, research director at IDC. \u201cModel cards will be valuable for monitoring AI projects and promoting transparency.\u201d<\/p>\n

New AI Governance Group Led by an Ethical AI Expert<\/strong><\/p>\n

With the proliferation of artificial intelligence, SAS customers have become increasingly concerned about how to use their data productively and securely. To help them on their data and AI journeys, SAS introduces AI Governance Advisory, a value-added service for today's customers.<\/p>\n

Starting from a brief meeting, SAS AI Governance Advisory helps the client reflect on the meaning of AI governance for their organization. SAS has tested this service, and customers have noticed several benefits:<\/p>\n