Christian Kadner | QCon San Francisco 2018

Next QConSF Conference: Applied AI for Developers QCon.ai April 2019

Speaker: Christian Kadner

Software developer @IBM, committer to Apache Bahir and contributor to Jupyter Enterprise Gateway

Christian Kadner is a software developer at IBM, committer to Apache Bahir and contributor to Jupyter Enterprise Gateway. He has a strong background in Java application development and relational database technology. More recently he has been working with IBM Fabric for Deep Learning and Apache OpenWhisk to develop machine learning pipelines that integrate the IBM Adversarial Robustness Toolbox and the IBM AI Fairness 360 toolkit.

Talk : Create a Fair & transparent AI Pipeline with AI Fairness 360

Track : Sponsored Solutions Track II

Location : Marina

Day of week : Monday

Duration : 11:50am - 12:40pm

One of the most critical and controversial topics around artificial intelligence centers around bias. As more apps come to market that rely on artificial intelligence, software developers and data scientists can unwittingly (or perhaps even knowingly) inject their personal biases into these solutions.

Because flaws and biases may not be easy to detect without the right tool, we have launched AI Fairness 360, an open source library to help detect and remove bias in machine learning models and data sets.

The AI Fairness 360 Python package includes a comprehensive set of metrics for data sets and models to test for biases, explanations for these metrics, and algorithms to mitigate bias in data sets and models. The research community worked together to create 30 fairness metrics and nine state-of-the-art bias mitigation algorithms.

We will share lessons learned while using AI Fairness 360 and demonstrate how to leverage it to detect and de bias models during pre-processing, in-processing, and post-processing. We will explain how to take these practices and apply them on training in on a more robust environment using Fabric for Deep Learning (FfDL, pronounced “fiddle”) which provides a consistent way to run various scalable deep learning frameworks as a service on Kubernetes.

Tracks

Monday, 5 November

Microservices / Serverless Patterns & Practices

Evolving, observing, persisting, and building modern microservices
Practices of DevOps & Lean Thinking

Practical approaches using DevOps & Lean Thinking
JavaScript & Web Tech

Beyond JavaScript in the Browser. Exploring WebAssembly, Electron, & Modern Frameworks
Modern CS in the Real World

Thoughts pushing software forward, including consensus, CRDT's, formal methods, & probabilistic programming
Modern Operating Systems

Applied, practical, & real-world deep-dive into industry adoption of OS, containers and virtualization, including Linux on Windows, LinuxKit, and Unikernels
Optimizing You: Human Skills for Individuals

Better teams start with a better self. Learn practical skills for IC

Tuesday, 6 November

Architectures You've Always Wondered About

Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more
21st Century Languages

Lessons learned from languages like Rust, Go-lang, Swift, Kotlin, and more.
Emerging Trends in Data Engineering

Showcasing DataEng tech and highlighting the strengths of each in real-world applications.
Bare Knuckle Performance

Killing latency and getting the most out of your hardware
Socially Conscious Software

Building socially responsible software that protects users privacy & safety
Delivering on the Promise of Containers

Runtime containers, libraries, and services that power microservices

Wednesday, 7 November

Applied AI & Machine Learning

Applied machine learning lessons for SWEs, including tech around TensorFlow, TPUs, Keras, PyTorch, & more
Production Readiness: Building Resilient Systems

More than just building software, building deployable production ready software
Developer Experience: Level up your Engineering Effectiveness

Improving the end to end developer experience - design, dev, test, deploy, operate/understand.
Security: Lessons Attacking & Defending

Security from the defender's AND the attacker's point of view
Future of Human Computer Interaction

IoT, voice, mobile: Interfaces pushing the boundary of what we consider to be the interface
Enterprise Languages

Workhorse languages found in modern enterprises. Expect Java, .NET, & Node in this track

This Year's Schedule

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