42 Questions
What is a limitation of Large Language Models?
Insufficiently grounded responses
What is a potential harm of AI systems?
Copyright infringement
What is a challenge in designing AI systems?
Ensuring fairness
What is a requirement for building responsible AI?
Principles, practices, and tools
What is a limitation of AI systems?
Not fully reliable
What is a concern in AI development?
Ethical concerns
What is a risk associated with AI systems?
Manipulation and human-like behavior
What is essential for responsible AI innovation?
A cloud that runs on trust
What is the primary function of Azure AI Content Safety?
To detect and prevent the output of harmful content
How many categories does Azure AI Content Safety classify harmful content into?
4
What is the purpose of the ensemble of classification models in Azure AI Content Safety?
To detect and prevent the output of harmful content
What is the default setting for content filtering in Azure AI Content Safety?
Strictest filtering configuration
What is the purpose of the severity levels in Azure AI Content Safety?
To return a score for each category
What is the benefit of deploying foundation models with Azure Machine Learning?
To enable Azure AI Content Safety
What can customers do to modify the monitoring of Azure OpenAI Service endpoints?
Apply to modify monitoring through https://aka.ms/oai/modifiedaccess
What is the purpose of configurable content filters in Azure AI Content Safety?
To filter content based on severity levels
What is the main goal of Microsoft's Responsible AI principles?
To ensure privacy, security, and transparency in AI systems
In what year did Microsoft adopt its AI Principles?
2018
What is the name of the tool launched by Microsoft in 2023 to ensure AI content safety?
Azure AI Content Safety
What is the name of the committee established by Microsoft in 2017?
Aether Committee
What is the purpose of the Responsible AI Standard?
To put principles into action with AI by Design
What is the main focus of Microsoft's Responsible AI Strategy in Engineering?
Building blocks to enact principles
What is the name of the forum co-launched by Microsoft in 2023?
Frontier Model Forum
What is the primary goal of the Responsible AI Standard?
To establish a framework for responsible AI practices
What is the main focus of Microsoft's Responsible AI principles?
Fairness, Reliability, Privacy, and Inclusiveness
What is the main benefit of using Azure OpenAI Service?
It provides a built-in safety system for deploying foundation models
What is the purpose of the Office of Responsible AI?
To establish rules and governance for AI
What is the main goal of Microsoft's AI by Design?
To guide the design, build, and testing of AI systems
What is one of the key principles of the Responsible AI Standard?
Accountability
What is the purpose of the 'Mitigation layers' in the Azure AI platform?
To filter out abusive content from customer responses
What is the benefit of using Customer Managed Keys in Azure?
It encrypts data with a unique key for each customer
What is one of the goals of the Responsible AI Standard?
To ensure Reliability and Safety in AI models
What is the primary benefit of using Azure OpenAI Service in the Azure Cloud?
It provides a secure and private environment for AI deployment
What is the purpose of the 'Requirements' component in the Responsible AI Standard?
To outline the steps to secure the goals of responsible AI
What is the primary goal of evaluating an AI system?
To prioritize harms and features to probe
How does Azure AI customize evaluations?
By using manual probing and red teaming
What is the purpose of red teaming in AI evaluation?
To simulate real-world scenarios and stress-test the product
How does Azure OpenAI Service handle customer training data?
It only uses the data to fine-tune the customer's model
What is the purpose of the content management system in Azure OpenAI Service?
To allow authorized Microsoft employees to access prompt and completion data
How long is data stored by the Azure OpenAI Service?
Up to 30 days
Who can access prompt and completion data in Azure OpenAI Service?
Authorized Microsoft employees
What is the purpose of documenting results in the evaluation process?
To share findings with stakeholders and attempt to measure and mitigate harms
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
Explore the ethical considerations and limitations of large language models, including ungrounded outputs, harmful content, and manipulation. Learn about the potential har
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