Automation bias is the propensity for humans to favor suggestions from automated decision-making systems and to ignore contradictory information made without automation, even if it is correct. Automation bias stems from the social psychology literature that found a bias in human-human interaction that showed that people assign more positive evaluations to decisions made by humans than to a neutral object. The same type of positivity bias has been found for human-automation interaction, where the automated decisions are rated more positively than neutral. This has become a growing problem for decision making as intensive care units, nuclear power plants, and aircraft cockpits have increasingly integrated computerized system monitors and decision aids to mostly factor out possible human error. Errors of automation bias tend to occur when decision-making is dependent on computers or other automated aids and the human is in an observatory role but able to make decisions. Examples of automation bias range from urgent matters like flying a plane on automatic pilot to such mundane matters as the use of spell-checking programs. (Wikipedia).
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From playlist Automation
In this video, you’ll learn more about how automation may impact our work lives. Visit https://www.gcflearnfree.org/thenow/how-will-automation-impact-our-lives/1/ for our text-based lesson. This video includes information on: • How robots are used and how they will be used in the future •
From playlist Automation
Algorithmic bias in healthcare AI: Scientific accuracy and social justice
This webinar will address a key social and ethical concern for Artificial Intelligence (AI) applications in healthcare: algorithmic bias, which occurs when automated decision-making results in a pattern of unfair or inequitable outcomes. In this webinar, we will present preliminary finding
From playlist Rachel Thomas videos
Not all types of bias are fixed by diversifying your dataset
The idea of bias is often too general to be useful. There are several different types of bias, and different types require different interventions to try to address them. Through a series of cases studies, we will go deeper into some of the various causes of bias.
From playlist 11 Short Machine Learning Ethics Videos
Confirmation Bias - Definition, Examples and How to Avoid - Psychology Motovlog
Learn the definition of the confirmation bias and understand examples of this cognitive bias in this informative video. The confirmatory bias is a very common flaw and can be found almost everywhere. There are a few tips you can use to avoid this common logical flaw in your daily thinking,
From playlist Cognitive Biases
Automation Testing using TestComplete | Tutorial for Beginners - Part 1 | Edureka
This Automation Testing using TestComplete tutorial video will help you with the basics and fundamentals of automation testing, tools and TestComplete as a tool for automation testing. This TestComplete tutorial video is ideal for beginners. To attend a live session, click here: http://goo
From playlist Automation Testing using TestComplete Tutorials
The Biggest Problem in the Traditional Workplace: Interruptions
New videos DAILY: https://bigth.ink Join Big Think Edge for exclusive video lessons from top thinkers and doers: https://bigth.ink/Edge ---------------------------------------------------------------------------------- There are a lot of people in the tech world who think that if we col
From playlist More
Rachel Thomas - Ethical Artificial Intelligence
Responsible Data Science Symposium, 3 December 2021 - Prof Rachel Thomas, Fast.ai, Co-founder and QUT Centre for Data Science Data Scientist in Residence - Ethical Artificial Intelligence
From playlist Rachel Thomas videos
Stanford CS229: Machine Learning | Summer 2019 | Lecture 22 - Practical Tips and Course Recap
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3jsA4Ng Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html
From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)
Beat Asteroids Game Using a Neural Network - JavaScript Tutorial
This complete JavaScript tutorial shows how to automate an asteroids game using a neural network. This tutorial keeps the complex theory to a minimum and demonstrates how to use a neural network in a real-world situation. The tutorial builds off of a previous JavaScript tutorial that sho
From playlist Machine Learning
Automated Bias, Robustness, and Data Quality Testing for NLP Model"
Install NLP Libraries https://www.johnsnowlabs.com/install/ Register for Healthcare NLP Summit 2023: https://www.nlpsummit.org/#register Watch all NLP Summit 2022 sessions: https://www.nlpsummit.org/nlp-summit-2022-watch-now/ As the use of machine learning (ML) algorithms in private a
From playlist NLP Summit 2022
Biased Generator - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Multispectral Astronomical Imaging
Using Wolfram Language, many aspects of astronomical observations can be automated. Using Wolfram Language and .NET/Link to interface to the industry standard ASCOM interface, a monochrome CCD camera and a motorized filter wheel were controlled to automate the tedious process of capturing
From playlist Wolfram Technology Conference 2022
Social Scores Are Real And You Have One Too
AI-derived scores rank individuals based on their profitability or risk as consumers, job candidates, or even defendants in court. Machine-learning algorithms decide your life. Support me through Patreon: https://www.patreon.com/thehatedone - or donate anonymously: Monero: 84DYxU8rPzQ88Sx
From playlist Decrypted Lies
27c3: News Key Recovery Attacks on RC4/WEP (en)
Speaker: Martin Vuagnoux In this paper, we present several weaknesses in the stream cipher RC4. First, we present a technique to automatically reveal linear correlations in the PRGA of RC4. With this method, 48 new exploitable correlations have been discovered. Then we bind these new b
From playlist 27C3: We come in peace
Tulsi Gabbard is right - Google is biased
As Google prevented Tulsi Gabbard from running campaign ads on Google Search after her successful debate night, the reliability and credibility of moderation driven by machine-learning algorithms is put to question. Support independent content by donating Monero or Bitcoin Monero: 84DYx
From playlist Decrypted Lies
Centrality - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Understanding the Limitations of AI: When Algorithms Fail | Timnit Gebru | WiDS 2019
Timnit Gebru, Research Scientist on the Ethical AI Team, Google Automated decision making tools are currently used in high stakes scenarios. From natural language processing tools used to automatically determine one’s suitability for a job, to health diagnostic systems trained to determi
From playlist Women in Data Science (WiDS)