Ethical AI Blog
Here we bring to you the stories of ethics, artificial intelligence and what happens when robots go bad, are unethical or work against humanity…
This blog provides you great info on the principles, tools and examples of AI done ethically.
When assessing the risk of AI harm, different actors will view this concept through different lenses.
The most common risk frameworks look at risk across two dimensions: impact versus the probability of that impact happening.
Recently, on a tech forum site, a contributor made the following simple, but insightful statement
The purpose of ethics and the law are often distinct yet the EU is on a path to turn ethical principles into legal rules. Is this the right approach?
Direct discrimination occurs when somebody is treated unfavourably because of an attribute such as age, disability, race, sexuality etc
Procedural fairness is concerned with the procedures used by a decision maker, rather than the actual outcome reached.
If you are a parent in Australia and put bowls of ice cream in front of two siblings, the first thing they do is examine the quantity of ice cream in the other’s bowl.
A toolkit can make all the difference when it comes to the application of ethical principles.
Singapore has been a significant contributor to the global discussion on the ethics of AI – recently releasing three documents for trade associations and chambers, professional bodies, and interest groups for discussion, and adaption for their own use.
In recent years numerous companies, governments, NGOs and academic institutions have developed and publicised their AI ethics principles.
This blog highlights the times when bots go bad, are designed unethically, make biased decisions, discriminate against people, affect the environment, try to hurt people or are just not good for humanity.
These “filter bubbles” are widening the gaps between us and even creating dangerous political instability.
Bad Robots: Secretive Facial Recognition Software Company Challenged in Court by Civil Liberties Watchdog
Your face is likely somewhere in a database of nearly three billion images that have been scraped from millions of websites.
Two of China’s most popular food delivery services came under fire after the wide scale publicization of the perils to their workers.
Twitter is re-evaluating an image cropping algorithm after evidence has emerged that the technology seemingly favored images of white individuals while hiding those of people of color.
After being sued by two groups, the United Kingdom’s Home Office has agreed to halt its use of, and substantially redesign, an algorithm that it had been using to analyze and support visa applications.
“Deepfakes” – AI generated fake images, videos, and audio files – are becoming more commonplace as their proliferation across the internet explodes.
The algorithm failed to account for more than half of Black patients who should have been categorised as “high risk.”
Bad Robots: Global Exam-Grading Software In Trouble For Algorithm Bias International Baccalaureate Program’s Exam-Grading Algorithm May Have Adversely Impacted Test Scores of Low-Income & Minority Students
Amazon’s AI-enabled recruitment software tool “downgraded” resumes of job seekers that contained the word “women” or that otherwise implied the applicant was a woman.
Apple Card gives up to 20 times less credit to women. Apple Card is a “digital first,” numberless credit card “built on simplicity, transparency and privacy.”
Ethical AI Whitepapers
Richard Vidgen, Professor of Business Analytics at UNSW presents a Whitepaper on a Business Canvas for Ethical AI. Using five key dimensions of Utilitarian, Rights, Justice, Common Good and Virtue a new model for business ethics is created.