As organizations increase their adoption of AI, governance leaders are looking to put in place policies that ensure their AI deployment aligns with their organization’s principles, complies with regulatory standards, and mitigates potential risks. But where to start in developing your policies can oftentimes be overwhelming. Let’s start with some important context. AI Policies break […]
For enterprise AI leaders and governance experts, developing Policies to guide the appropriate use and risk mitigation of AI can be a daunting task. Moreover, understanding whether that policy is compliant with AI regulations and standards can be costly, time-consuming, and overwhelming. Trustible’s AI Policy Analyzer is an expert AI system designed to simplify this process, providing an automated analysis of your existing AI policies in just minutes.
Organizations are increasingly deploying artificial intelligence (AI) systems to drive innovation and gain competitive advantages. Effective AI governance is crucial for ensuring these technologies are used ethically, comply with regulations, and align with organizational values and goals. However, as the use of AI and AI regulations become more pervasive, so does the complexity of managing these technologies responsibly.
Introduction Significant research has been invested in studying AI risks, a response to the rapid pace of deployment of highly capable AI models across a wide variety of use cases. Over the last year, governments around the world have established AI Safety institutes tasked with developing methodologies to assess the impact and probability of various […]
Organizational leaders are looking to better understand what AI models may be best fit for a given use case. However, limited public transparency on these systems makes this evaluation difficult.
In response to the rapid development and deployment of general-purpose AI (GPAI) models, Trustible is proud to introduce its research on Model Transparency Ratings – offering a comprehensive assessment of transparency disclosures of the top 21 Large Language Models (LLMs).
AI Governance is hard as it involves collaboration across multiple teams and an understanding of a highly complex technology and its supply chains. It’s about to get even harder. The complexity of AI governance is growing along 2 different dimensions at the same time – both of them are poised to accelerate in the coming […]
Federal regulators have largely focused on issuing guidance and initiating inquiries into AI, whereas state regulators have taken a more proactive stance, addressing AI’s unique challenges within sectors such as insurance. The New York Department of Financial Services released a draft guidance letter proposing standards for identifying, measuring, and mitigation potential bias from use of […]
In our new white paper, we discuss how AI governance professionals, and their organizations, can apply an actionable and flexible framework for evaluating ethical decisions for AI systems. Many organizations talk about Ethical AI, but many struggle to define it clearly. They often settle on sets of high level principles or values, but then struggle […]
In November 2022, Chat GPT brought the AI revolution straight into the hands of everyday consumers. However, if 2022 launched the proliferation and democratization of AI technology, 2023 can be remembered as the year in which policymakers tried to reign in AI. In the U.S., every branch of the federal government has weighed in on […]
On December 18, 2023, the International Organization for Standardization (ISO) adopted ISO 42001-2022, which sets a voluntary standard for organizations to implement an artificial intelligence (AI) management system.
