Podcast
Questions and Answers
What is a limitation of Large Language Models?
What is a limitation of Large Language Models?
What is a potential harm of AI systems?
What is a potential harm of AI systems?
What is a challenge in designing AI systems?
What is a challenge in designing AI systems?
What is a requirement for building responsible AI?
What is a requirement for building responsible AI?
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What is a limitation of AI systems?
What is a limitation of AI systems?
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What is a concern in AI development?
What is a concern in AI development?
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What is a risk associated with AI systems?
What is a risk associated with AI systems?
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What is essential for responsible AI innovation?
What is essential for responsible AI innovation?
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What is the primary function of Azure AI Content Safety?
What is the primary function of Azure AI Content Safety?
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How many categories does Azure AI Content Safety classify harmful content into?
How many categories does Azure AI Content Safety classify harmful content into?
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What is the purpose of the ensemble of classification models in Azure AI Content Safety?
What is the purpose of the ensemble of classification models in Azure AI Content Safety?
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What is the default setting for content filtering in Azure AI Content Safety?
What is the default setting for content filtering in Azure AI Content Safety?
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What is the purpose of the severity levels in Azure AI Content Safety?
What is the purpose of the severity levels in Azure AI Content Safety?
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What is the benefit of deploying foundation models with Azure Machine Learning?
What is the benefit of deploying foundation models with Azure Machine Learning?
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What can customers do to modify the monitoring of Azure OpenAI Service endpoints?
What can customers do to modify the monitoring of Azure OpenAI Service endpoints?
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What is the purpose of configurable content filters in Azure AI Content Safety?
What is the purpose of configurable content filters in Azure AI Content Safety?
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What is the main goal of Microsoft's Responsible AI principles?
What is the main goal of Microsoft's Responsible AI principles?
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In what year did Microsoft adopt its AI Principles?
In what year did Microsoft adopt its AI Principles?
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What is the name of the tool launched by Microsoft in 2023 to ensure AI content safety?
What is the name of the tool launched by Microsoft in 2023 to ensure AI content safety?
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What is the name of the committee established by Microsoft in 2017?
What is the name of the committee established by Microsoft in 2017?
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What is the purpose of the Responsible AI Standard?
What is the purpose of the Responsible AI Standard?
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What is the main focus of Microsoft's Responsible AI Strategy in Engineering?
What is the main focus of Microsoft's Responsible AI Strategy in Engineering?
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What is the name of the forum co-launched by Microsoft in 2023?
What is the name of the forum co-launched by Microsoft in 2023?
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What is the primary goal of the Responsible AI Standard?
What is the primary goal of the Responsible AI Standard?
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What is the main focus of Microsoft's Responsible AI principles?
What is the main focus of Microsoft's Responsible AI principles?
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What is the main benefit of using Azure OpenAI Service?
What is the main benefit of using Azure OpenAI Service?
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What is the purpose of the Office of Responsible AI?
What is the purpose of the Office of Responsible AI?
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What is the main goal of Microsoft's AI by Design?
What is the main goal of Microsoft's AI by Design?
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What is one of the key principles of the Responsible AI Standard?
What is one of the key principles of the Responsible AI Standard?
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What is the purpose of the 'Mitigation layers' in the Azure AI platform?
What is the purpose of the 'Mitigation layers' in the Azure AI platform?
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What is the benefit of using Customer Managed Keys in Azure?
What is the benefit of using Customer Managed Keys in Azure?
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What is one of the goals of the Responsible AI Standard?
What is one of the goals of the Responsible AI Standard?
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What is the primary benefit of using Azure OpenAI Service in the Azure Cloud?
What is the primary benefit of using Azure OpenAI Service in the Azure Cloud?
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What is the purpose of the 'Requirements' component in the Responsible AI Standard?
What is the purpose of the 'Requirements' component in the Responsible AI Standard?
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What is the primary goal of evaluating an AI system?
What is the primary goal of evaluating an AI system?
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How does Azure AI customize evaluations?
How does Azure AI customize evaluations?
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What is the purpose of red teaming in AI evaluation?
What is the purpose of red teaming in AI evaluation?
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How does Azure OpenAI Service handle customer training data?
How does Azure OpenAI Service handle customer training data?
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What is the purpose of the content management system in Azure OpenAI Service?
What is the purpose of the content management system in Azure OpenAI Service?
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How long is data stored by the Azure OpenAI Service?
How long is data stored by the Azure OpenAI Service?
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Who can access prompt and completion data in Azure OpenAI Service?
Who can access prompt and completion data in Azure OpenAI Service?
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What is the purpose of documenting results in the evaluation process?
What is the purpose of documenting results in the evaluation process?
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Study Notes
Ethics and Responsible AI
- Ungrounded outputs and errors can lead to harmful content, code, and manipulation, and human-like behavior in AI models
- Foundation models can introduce new harms, including biases in outputs, insufficiently grounded responses, and high computational costs
- Limitations of large language models include staleness, in September 2021, insufficient grounding, and sensitivity to input phrasing
Designing and Building Responsible AI Systems
- Complex and challenging questions arise when designing and building AI systems that create a positive impact on people and society
- Key considerations include ensuring AI safety and reliability, respecting privacy, and treating everyone fairly
Microsoft's Responsible AI Journey
- Microsoft's Responsible AI journey began in 2016 with Satya Nadella's Slate article
- In 2017, the Aether Committee was established, and Facial Recognition Principles were adopted
- In 2018, the Office of Responsible AI was established, and Responsible AI Strategy was launched
- In 2019, the Responsible AI Standard was launched, and the Frontier Model Forum was co-launched
- In 2022, the Responsible AI Standard v2 was launched, and new RAI tooling was introduced
- In 2023, the White House Voluntary AI Commitments were announced, and the Responsible AI Dashboard was launched
Microsoft's Responsible AI Principles
- Fairness
- Reliability and Safety
- Privacy and Security
- Inclusiveness
- Transparency
- Accountability
The Responsible AI Standard
- The Standard establishes a durable framework for responsible AI and evolving regulatory requirements
- The anatomy of the Responsible AI Standard includes:
- Principles: enduring values guiding responsible AI work
- Goals: outcomes to be secured
- Requirements: steps to secure the goals
- Tools and Practices: aids to meet the requirements
Microsoft Azure Cloud
- Runs on trust, with data encryption, customer-managed keys, and comprehensive enterprise compliance and security controls
- Data is protected, and customers have control over data usage and training
Responsible AI Applied
- Mitigation layers are used to deploy foundation models with built-in safety systems
- Azure AI Content Safety is a built-in safety system that detects and prevents harmful content
- Customers can modify monitoring for Azure OpenAI Service endpoints
Content Filtering in Azure AI
- Azure OpenAI Service includes Azure AI Content Safety, which classifies harmful content into four categories: Hate, Sexual, Violence, and Self-harm
- Content filtering is configurable, with severity levels ranging from Safe to High
Evaluation and Red Teaming
- Evaluation is an ongoing, iterative process that involves defining harms, generating system outputs, and evaluating system outputs
- Red teaming involves instructing red teamers, manually probing the product, summarizing findings, and sharing data with stakeholders
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Description
Explore the ethical considerations and limitations of large language models, including ungrounded outputs, harmful content, and manipulation. Learn about the potential har