What is responsible AI?Completed 100 XP 4 minutes To ensure your AI system behaves as expected, you need to evaluate your Generative AI (Gen AI) application. You need to check the effectiveness of the Large Language Model (LLM) solution, identify any biases or ethical concerns, ensu...
Learn what Responsible AI is and how to use it with Azure Machine Learning to understand models, protect data, and control the model lifecycle.
Responsible artificial intelligence (AI) is a set of principles that help guide the design, development, deployment and use of AI—building trust in AI solutions that have the potential to empower organizations and their stakeholders. Responsible AI involves the consideration of a broader societal imp...
Python SDK azure-ai-ml v2 (current) Responsible Artificial Intelligence (Responsible AI) is an approach to developing, assessing, and deploying AI systems in a safe, trustworthy, and ethical way. AI systems are the product of many decisions made by those who develop and deploy them. From syst...
What Is Responsible AI? Responsible AI is a set of practices that ensures AI systems are designed, deployed and used in an ethical and legal way. When companies implement responsible AI, they minimize the potential for artificial intelligence to cause harm and make sure it benefits individuals, ...
Microsoft's Responsible AI standard The Responsible AI Standard is the set of company-wide rules that help to ensure we are developing and deploying AI technologies in a manner that is consistent with our AI principles. We are integrating strong internal governance practices across the company, mos...
Responsible AI includes four principles for ensuring that AI is safe, trustworthy and unbiased - it should be robust, explainable, ethical and auditable
How do you design responsible AI? AI models should be created with concrete goals that focus on building a model in a safe, trustworthy and ethical way. Ongoing scrutiny is crucial to ensure an organization is committed to providing unbiased, trustworthy AI technology. To do this, an organizati...
Responsible AI is the art and science of ensuring that AI delivers ethical results. Responsible AI principles should be part of all phases of building, using, and managing AI: from the way developers build AI models and datasets, to managing how AI applications operate through analytics and obse...
Responsible AI involves creating, implementing, and using AI systems with a focus on positively impacting employees, businesses, customers, and society.