Главная
Study mode:
on
1
Introduction
2
What is bias
3
Computers cant be biased
4
Machine bias
5
Not making assumptions
6
Glow Eve
7
Pool Float
8
Bad Data
9
Image Searches
10
Data Driven Bias
11
Other Real World Implications
12
Soap is a Problem
13
Biased Algorithms
14
Who is the Average User
15
Questioning Assumptions
16
Inclusive Design
17
oxo Kitchen Products
18
Web Forms
19
Questions
20
Focus Groups
21
Evaluations
Description:
Explore the real-world implications of bias in coding and machine learning in this 45-minute conference talk from PASS Data Community Summit. Delve into the misconception that computers can't be biased, and understand how human experiences and assumptions seep into applications, surveys, and web forms. Learn to identify bias in code, develop inclusive programming practices, and implement quick tips to ensure your applications cater to all users, not just those who resemble you. Discover the impact of biased algorithms, machine bias, and data-driven prejudices through real-world examples. Gain insights on questioning assumptions, practicing inclusive design, and creating more effective web forms and user evaluations. Equip yourself with the knowledge to create truly inclusive and world-changing applications.

Real World Implications of Bias in Coding & Machine Learning

PASS Data Community Summit
Add to list
0:00 / 0:00