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Ask Me Anything: Artificial Intelligence in Testing

15th December 2023

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Carlos Kidman

Head of Engineering

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Talk Description

During this Ask Me Anything session, Carlos Kidman answers questions from the audience about AI in Testing.

Here's what Carlos has to say about his experience in AI in Testing:

My journey into Machine Learning (AI) started 5 years ago as I wanted to learn about ML and use it to solve challenges that traditional programming could not. I was able to actually apply ML at Workfront Adobe on some of our projects that were data and automation intensive! I was doing things with Natural Language Processing (NLP) and Computer Vision).

I was an Engineering Manager at Adobe leading Platform Engineering initiatives. Then I was approached by Qualiti.ai to become their Director of Engineering to build a quality and testing platform! We literally use AI for Testing 😄

I've been there for 2 years now through all of R&D and now delivering tools for devs and testers. I have spoken at conferences about AI in Testing and how to test AI systems for the past 3 years and even have a course on TAU about it!

By the end of this session, you'll be able to:

Test for biases in AI systems, particularly in the context of sentiment analysis
Use observability techniques to assess user confidence in AI-powered software
Discover the future role of testers in AI
Effectively use of machine learning tools in testing
Understand AI's role in usability and accessibility testing
Consider ethics in AI testing

Carlos Kidman

Head of Engineering

Carlos Kidman is Head of Engineering at an AI company, but was formerly an Engineering Manager at Adobe. He is an instructor at Test Automation University with courses around architecture, design, containerization, and Machine Learning. He is the founder of QA at the Point, which is the Testing and Quality Community in Utah, and does consulting, workshops, and speaking events all over the world. He streams programming and other tech topics on Twitch, has a YouTube channel, builds open source software like Pylenium and PyClinic, and is an ML/AI practitioner. He loves fútbol, anime, and gaming.

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