Towards Responsible AI

When we talk about AI, we usually mean a machine learning model that is used within a system to automate something. For example, a self-driving car can take images from sensors. A ML model can use these images to make predictions (example: the object in front of us is a tree). The car uses these predictions to make decisions (example: turn left to avoid the tree). We refer to this entire system as Artificial Intelligence.

This is just an example. AI can be used for anything, from insurance underwriting to cancer detection. The defining characteristic is that there is no limited human involvement in the decisions the system makes. This can create many potential problems and companies need to define a clear approach to the use of AI. Responsible AI is a governance framework intended to do exactly that.

Responsible AI can include details about what data can be collected and used, and how the models should be implemented, evaluated and monitored. You can also define who is responsible for the negative results of the AI implementation. You can define specific approaches and others more open to interpretation. They all seek to achieve the same thing: to create AI systems that are interpretable, fair, secure, and respectful of user privacy.

The objective of this session is to talk about the responsible use of Artificial Intelligence in the generation of fair, equitable and explainable machine learning models.

Luis Beltran

Luis Beltran

Microsoft MVP

Other sessions from: Global AI Student Conference December 2022

Introduction to Azure cognitive services in the Power Platform

Introduction to Azure cognitive services in the Power Platform

I will talk in depth about azure cognitive services in the power platform a...

Panshak Koproda Panshak Koproda
Generate out of the world images with Azure and Stable Diffusion

Generate out of the world images with Azure and Stable Diffusion

Have you always wanted to have a photo in space, swimming through Atlantis...

Felipe Flores Felipe Flores
David Lazaro David Lazaro
AI Builder in Power Platform

AI Builder in Power Platform

Artificial Intelligence builder is one of the capabilities of Microsoft...

Shadrack Kiprotich Shadrack Kiprotich
Breast Cancer prediction using automated ML

Breast Cancer prediction using automated ML

A mini-project related to « Breast Cancer prediction using AutomatedML »,...

Hadil Ben Amor Hadil Ben Amor
Smart Parking in Modern Cities: Challenges & Solutions

Smart Parking in Modern Cities: Challenges & Solutions

The presentation will address ML-related challenges of emerging intelligent...

Vadim Porvatov Vadim Porvatov
Anastasia Martynova Anastasia Martynova
Introduction to Named Entity Recognition using Azure Language

Introduction to Named Entity Recognition using Azure Language

Have you ever wondered how you can extract entities from unstructured text...

Konstantinos Kyriakos Sitistas Konstantinos Kyriakos Sitistas