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Bill Allen
Dojo Coach / Software Crafting Coach
Chicago, Illinois, United States
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Meet Bill - an experienced Dojo Coach / Software Crafting Coach who guides organizations' product development efforts in various industries, including FinTech, Big Data, Telecommunications, and Automotive.
He started his career as an assembler programmer at Sears Roebuck & Co., considered the Amazon of its day. Later, he spent over two decades developing software for many of the financial exchanges in Chicago. He shares his knowledge by speaking at conferences and presenting on topics such as Product Discovery, Software Crafting, and Learning Organizations (Dojos).
Bill resides in Chicago, and when he's not spending time with his family, biking, tennis, or working, he is actively mentoring the next generation of software engineers. He understands the importance of sharing knowledge through Mob Programming hangouts and founded the user group Chicago Agile Open Space in 2012.
Area of Expertise
Topics
Technical Practices for Detecting Bias in AI: Building Fair and Ethical Models
In an era where generative Artificial Intelligence (AI) shapes realities, it's crucial to recognize the inherent biases these technologies may carry. Large language models (LLMs), developed using vast and diverse datasets, may reflect the biases inherent in the human-generated content on which they were trained.
According to Dr. Joy Buolamwini, the founder of the Algorithmic Justice League, an organization tracking the harms of artificial intelligence, AI-powered tools are “determining who gets hired, who gets medical insurance, who gets a mortgage, and even who gets a date. " Buolamwini goes on to say, “When AI systems are used as the gatekeeper of opportunities, it is critical that the oversight of the design, development, and deployment of these systems reflect the communities that will be impacted by them.” [1]
But AI should benefit everyone, right? Even OpenAI (parent company of ChatGPT) publicly states its mission is to ensure that artificial general intelligence “benefits all of humanity.” And, the opening of OpenAI's GPT Store and similar venues has ushered in a new era of AI apps, which may introduce new ethical challenges. How will we govern this technology to ensure ethical practices and benefits for all of humanity?
During this presentation, participants will gain insights into using AI Observability, AI Governance, and other key concepts to ensure responsible management of AI systems in compliance with policies and standards.
Target Audience
This talk is for anyone using Artificial Intelligence (AI), whether a curious consumer or a seasoned technologist, who shares the common goal that AI should operate ethically and fairly.
Learning Outcomes
After attending this talk, participants will be able to identify bias in AI platforms and apply these 3 key learning outcomes:
• Evaluate training data bias
• Document performance disparities
• Test models for unfair biases
Info for the Speaker Selection Committee
[1] OpenAI’s technology is upending our everyday lives. It’s overseen exclusively by wealthy, White men
https://www.cnn.com/2023/12/15/tech/openai-board-diversity/index.html
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Time Breakdown for 75-minute talk
Introductions - 10 mins
Detecting examples of bias in AI - 50 mins
• Why biases are undesirable
• Evaluating model fairness
• Metrics for quantifying discrimination
• Bias mitigation metrics and toolkits
• Auditability, explainability, and accountability
Wrap up and Q&A - 15 minutes
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Presentation History
https://speakerdeck.com/billagileinnovator
![](https://sessionize.com/image/c1e2-400o400o2-WX49vfgPvbh7bMKviyVPwK.jpg)
Bill Allen
Dojo Coach / Software Crafting Coach
Chicago, Illinois, United States
Actions
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