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⇱ Responsible AI Tools and Practices | Microsoft AI

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Microsoft Responsible AI

Tools and practices

Evaluate, understand, and make informed decisions about your AI systems.

Featured tools and processes

Discover tools that can help your organization map, measure, and manage AI risks throughout the development cycle to reduce the risk of harm.

Microsoft Responsible AI Standard

Explore internal guidance from Microsoft on how to design, build, and test AI systems.

AI Impact Assessment Guide

Explore internal guidance from Microsoft for assessing the impact of AI.

AI Impact Assessment Template

Get the Microsoft template for assessing the impact of AI.

Human-AI Experience Toolkit

Use this toolkit to plan and design human-centered AI systems.

Microsoft Foundry Control Plane

Centralize oversight to monitor, govern, and optimize AI performance, cost, and compliance.

Content Safety in Foundry Control Plane

Automatically identify and block unsafe content in generative AI prompts and outputs for your application.

Microsoft Purview

Safeguard and manage the compliance of all your data for AI tools and systems.

AI Impact Assessment Guide

Explore Microsoft internal guidance for assessing the impact of AI.

AI Impact Assessment Template

Get the Microsoft template for assessing the impact of AI.

AI Red Teaming

Learn how to safeguard your organization's AI with guidance and best practices from the industry leading Microsoft AI Red Team.

Threat modeling

Gain perspective and resources to help you integrate threat modeling into your software development lifecycle (SDLC).

Accelerate Red Teaming with PyRIT

Learn how the open automation framework empowers red teams to uncover risks in generative AI systems.

Failure Modes in Machine Learning

Identify threats, attacks, and vulnerabilities—and plan for countermeasures—using this framework.

Inclusive Design

Explore Microsoft’s inclusive design methodology which draws on a wide range of diverse perspectives.

Responsible AI dashboard

Assess and improve model fairness, accuracy, and explainability with the Responsible AI dashboard.

Fairlearn

Assess your AI system's fairness, then mitigate any observed bias, by installing this open-source package.

InterpretML

Understand ML models, including glass-box models and blackbox systems, with help from this open-source toolkit.

Error Analysis

Identify and diagnose ML model errors with this responsible AI toolkit for improving model accuracy.

Evaluate GenAI apps

Assess generative AI apps for quality and safety using human review and AI-assisted metrics in Microsoft Foundry.

EconML

Estimate causal effects or responses from observational data using ML techniques with this Python package.

Counterfit

Assess the security of your ML systems using a generic automation layer.

Microsoft Purview

Safeguard and manage the compliance of all your data for AI tools and systems.

Confidential computing

Increase data privacy and security surrounding business and consumer data by protecting data in use for AI.

Microsoft Defender for Cloud

Proactively mitigate risks and identify threats to AI apps, from code to cloud, with comprehensive security.

Microsoft SEAL

Perform computations directly on encrypted data with this open-source homomorphic encryption library.

Presidio

Protect sensitive data with customizable, context-aware de-identification features for text and images.

Azure AI

Responsibly build intelligent apps at enterprise scale with the Azure AI portfolio.

Azure Policy

Achieve organization-wide cloud compliance by setting guardrails and creating policies to govern your resources.

Responsible AI Toolbox

Access a suite of open-source tools designed to help you assess, develop, and deploy AI responsibly.
Business resources

AI for Leaders

Discover how to drive business impact by creating effective AI strategies.
CUSTOMER STORIES

See responsible AI innovations across industries

Raiffeisen Bank International launches its own ChatGPT using Azure OpenAI Service
Discover how RBI improves productivity and customer service with AI.
Perplexity.AI develops a trailblazing AI answer engine with Azure AI Studio
Learn how Perplexity.AI doubles throughput and cuts costs with AI.
Unity builds a game developer AI assistant with Azure OpenAI Service
Find out how Unity makes troubleshooting easier for developers.
IWill Therapy and IWill CARE uses Azure AI to help improve clients’ mental health
Learn how IWill’s Hindi-speaking bot expands therapy access in India.
CARE relies on data and Azure AI to help prepare for global emergencies
Discover how CARE improves emergency readiness with AI insights.
PwC champions sustainability with Microsoft Sustainability Manager and other innovative technology solutions
Learn how PwC helps clients drive sustainable growth.
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AI learning

Build your AI skills

Deepen your understanding of how to use and develop AI responsibly.
Training

Microsoft Azure AI Fundamentals: AI overview

Training

Plan and prepare to develop AI solutions on Azure

Training

Explore the AI learning hub

Training

Get an introduction to generative AI

Training

Embrace responsible AI principles and practices

Training

Explore the Copilot learning hub

Training

Microsoft Azure AI Fundamentals

Training

Chart your course with the AI Skills Navigator

Training

Transform your business with Microsoft AI

Training

Learn to debug an AI model with the Responsible AI dashboard

Training

Learn the fundamentals of implementing generative AI responsibly

Training

Equip and support learners with AI tools from Microsoft

Back to LEARN MORE - Build your AI skills section

Explore products and solutions

Content Safety in Foundry Control Plane

Learn how to develop guardrails for responsible AI applications.

Microsoft Foundry

Design, customize, and monitor AI apps and agents at scale.

Microsoft Security Copilot

Protect your organization with an AI-powered assistant for security and IT operations.