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Building trustworthy AI systems with Responsible AI tools.

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Building trustworthy AI systems with Responsible AI tools.

Join Microsoft Reactor and engage with startups and developers live

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Building trustworthy AI systems with Responsible AI tools.

  • Format:
  • alt##LivestreamLivestream

Topic: AI

Language: English

  • Events in this Series:
  • 3

Responsible AI is paramount in the realm of machine learning, especially with the growing call for AI regulation. This session addresses the practical needs of organizations and AI developers, offering hands-on learning to identify, debug, and mitigate issues associated with AI solutions. By leveraging both LLMs and traditional ML models, participants gain valuable insights to navigate the complexities of building AI solutions responsibly.

Benefits for Start-ups:
Start-ups stand to gain a strategic advantage by minimizing risks associated with their AI services, earning the trust of investors, B2B customers, and end-users. This session equips them to address regulatory compliance concerns and showcases responsible AI practices crucial for success in the evolving AI landscape.

Session Focus:
This workshop series zeroes in on debugging traditional ML models and constructing generative AI solutions using Azure OpenAI responsibly.

What Attendees Will Learn:
Participants, whether individuals or start-ups, will acquire best practices in utilizing vectors, prompt engineering, and identifying harmful AI issues such as biases, jailbreaks, hallucinations, and offensive content.

Prerequisite:
Basic understanding of Python is recommended.

Upcoming Events

Click on an event below to learn more and register for individual events.

All times in - (UTC) Coordinated Universal Time

Mar

05

Tuesday

2024

Azure Content Safety | Building Trustworthy AI with Responsible Tools

3:30 PM - 4:30 PM

Responsible AI is a critical part of machine learning. With the recent breakthroughs in AI, there is increasing societal scrutiny for AI to be regulated. However, organizations and AI developers need practical tools to enable them to safe-guard, debug, mitigate and deliver AI solutions that are less harmful. This workshop provides hands-on learning to the AI communities on how they can use Responsible AI tools identity and mitigate issues that can negatively affect individual or society. Participants will learn using LLMs and traditional ML models to gain a competitive advantage with this workshop. How do you think that a Start-up will be benefited from this session? This will help startups in reducing the risks from their AI services when engaging with investors, b2b customers deals, or end-users to win their trust. Investors and customers want to avoid regulatory AI compliance violations when evaluating AI systems from startups. The session will focus on: The lessons from this workshop series will focus on techniques and services to add safety to generative AI solutions with Azure OpenAI responsibly. What will the attendees or a Start-up learn from session? Participants will learn best practices on using prompt engineering, detecting jailbreaks, offensive or inappropriate content in text and images efficiently. In addition, identifying sexual, violent, hate, and self-harm content. Read More - https://aka.ms/Responsible-AIPrinciples Speaker Bio: Ruth Yakubu Ruth Yakubu is a Principle Cloud Advocate at Microsoft. Ruth specializes in Java, Advanced Analytics, Data Platforms and Artificial Intelligence (AI). In addition, she's been a tech speaker at several conferences like Microsoft Ignite, O'reilly velocity, Devoxx UK, Grace Hopper Dublin, TechSummit, Websummit and numerous other developer conferences. Prior to Microsoft, She has also worked for great companies like UNISYS, ACCENTURE and DIRECTV over the years where she gained a lot of experience with software architectural design and programming. She’s awarded Dzone.com’s Most Valued Blogger. Social Handle of the speaker X-@ruthieyakubu LinkedIn- https://www.linkedin.com/in/ruthyakubu Session hosted by- Vinayak Hegde Vinayak Hegde currently works as CTO-in-residence at Microsoft for Startups helping startups to scale their tech stacks, teams and products. With over 20 years of experience, Vinayak has built multiple products across different domains such as IoT, large scale networks and large-scale data systems in a variety of individual contributor and senior technical leadership roles. Previously he has worked with Akamai, Inmobi, and Zoomcar. Social Handle LinkedIn- https://www.linkedin.com/in/vinayakh/

  • Format:
  • alt##LivestreamLivestream

Topic: AI

Language: English

Details

Mar

07

Thursday

2024

Azure ML Prompt Flow | Building trustworthy AI systems with Responsible AI tools.

3:30 PM - 4:30 PM

Responsible AI is a critical part of machine learning. With the recent breakthroughs in AI, there is increasing societal scrutiny for AI to be regulated. However, organizations and AI developers need practical tools to enable them to safe-guard, debug, mitigate and deliver AI solutions that are less harmful. This workshop provides hands-on learning to the AI communities on how they can use Responsible AI tools identity and mitigate issues that can negatively affect individual or society. Participants will learn using LLMs and traditional ML models to gain a competitive advantage with this workshop. How do you think that a Start-up will be benefited from this session? This will help startups in reducing the risks from their AI services when engaging with investors, b2b customers deals, or end-users to win their trust. Investors and customers want to avoid regulatory AI compliance violations when evaluating AI systems from startups. The session will focus on - The lessons from this workshop series will focus on building and evaluating generative AI solutions with LLMs responsibly at a large-scale. What will the attendees or a Start-up learn from session? Participants will learn how to create visual executable flows that link LLMs, vector embeddings, prompts, and Python tools. As well as, evaluating performance metrics and responsible AI issues such as grounded ness, hallucinations, relevance etc. Read More - https://aka.ms/Responsible-AIPrinciples Speaker Bio: Ruth Yakubu Ruth Yakubu is a Principal Cloud Advocate at Microsoft. Ruth specializes in Java, Advanced Analytics, Data Platforms and Artificial Intelligence (AI). In addition, she's been a tech speaker at several conferences like Microsoft Ignite, O'reilly velocity, Devoxx UK, Grace Hopper Dublin, TechSummit, Websummit and numerous other developer conferences. Prior to Microsoft, She has also worked for great companies like UNISYS, ACCENTURE and DIRECTV over the years where she gained a lot of experience with software architectural design and programming. She’s awarded Dzone.com’s Most Valued Blogger. Social Handle of the speaker X-@ruthieyakubu LinkedIn- https://www.linkedin.com/in/ruthyakubu Session hosted by- Vinayak Hegde Vinayak Hegde currently works as CTO-in-residence at Microsoft for Startups helping startups to scale their tech stacks, teams and products. With over 20 years of experience, Vinayak has built multiple products across different domains such as IoT, large scale networks and large-scale data systems in a variety of individual contributor and senior technical leadership roles. Previously he has worked with Akamai, Inmobi, and Zoomcar. Social Handle LinkedIn- https://www.linkedin.com/in/vinayakh/ Pre-requisites: Basic understanding of Python #ReactorBengaluru

  • Format:
  • alt##LivestreamLivestream

Topic: AI

Language: English

Details

Mar

13

Wednesday

2024

Responsible AI dashboard | Building trustworthy AI systems with Responsible AI tools

3:30 PM - 4:30 PM

Responsible AI is a critical part of machine learning. With the recent breakthroughs in AI, there is increasing societal scrutiny for AI to be regulated. However, organizations and AI developers need practical tools to enable them to safe-guard, debug, mitigate and deliver AI solutions that are less harmful. This workshop provides hands-on learning to the AI communities on how they can use Responsible AI tools identity and mitigate issues that can negatively affect individual or society. Participants will learn using LLMs and traditional ML models to gain a competitive advantage with this workshop. How do you think that a Start-up will be benefited from this session? This will help startups in reducing the risks from their AI services when engaging with investors, b2b customers deals, or end-users to win their trust. Investors and customers want to avoid regulatory AI compliance violations when evaluating AI systems from startups. The session will focus on - The lessons from this workshop series will focus on debugging traditional ML models to expose blind spots that model performance metrics miss such as biases, interpretability, and pinpointing groups where a model is producing wrong results. What will the attendees or a Start-up learn from session? Participants will learn how to debug and mitigate a ML model issue using error analysis, data analysis, model explainability, model performance and fairness assessment. Read More - https://aka.ms/Responsible-AIPrinciples Speaker Bio: Ruth Yakubu Ruth Yakubu is a Principal Cloud Advocate at Microsoft. Ruth specializes in Java, Advanced Analytics, Data Platforms and Artificial Intelligence (AI). In addition, she's been a tech speaker at several conferences like Microsoft Ignite, O'reilly velocity, Devoxx UK, Grace Hopper Dublin, TechSummit, Websummit and numerous other developer conferences. Prior to Microsoft, She has also worked for great companies like UNISYS, ACCENTURE and DIRECTV over the years where she gained a lot of experience with software architectural design and programming. She’s awarded Dzone.com’s Most Valued Blogger. Social Handle of the speaker X-@ruthieyakubu LinkedIn- https://www.linkedin.com/in/ruthyakubu Session hosted by- Vinayak Hegde Vinayak Hegde currently works as CTO-in-residence at Microsoft for Startups helping startups to scale their tech stacks, teams and products. With over 20 years of experience, Vinayak has built multiple products across different domains such as IoT, large scale networks and large-scale data systems in a variety of individual contributor and senior technical leadership roles. Previously he has worked with Akamai, Inmobi, and Zoomcar. Social Handle LinkedIn- https://www.linkedin.com/in/vinayakh/ Pre-requisites: Basic understanding of Python #ReactorBengaluru

  • Format:
  • alt##LivestreamLivestream

Topic: AI

Language: English

Details

Speakers

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