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…
Ethical AI
This blog provides you great info on the principles, tools and examples of AI done ethically.
There’s fairness and there’s procedural fairness
Procedural fairness is concerned with the procedures used by a decision maker, rather than the actual outcome reached.
Fairness – universally understood but hotly contested
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.
What are the Ethical AI toolkits?
A toolkit can make all the difference when it comes to the application of ethical principles.
Ethical AI – The global context: Singapore
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.
Principles versus practice
In recent years numerous companies, governments, NGOs and academic institutions have developed and publicised their AI ethics principles.
What are the AI ethical frameworks?
Good technological design requires an ethical framework within which the technology can be designed, developed and deployed.
What can go wrong ethically with AI?
Artificial intelligence systems ‘learn’ based on the data they are given. This, along with many other factors, can lead to biased outcomes.
How do you do ethical AI?
AI systems do not possess an inherent ethical compass with which to understand the consequences of their actions.
What are human rights and how do they relate to technology?
Human rights exist to ensure that each one of us is entitled to make free choices about how to live, without discrimination.
What are Technology Ethics?
The reason technology ethics is growing in prominence is that new technologies give us more power to act.
Bad Robots
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.
Bad Robots: UK Home Office Backs Away From Immigration Algorithm After Legal Challenge
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.
Bad Robots: “Deepfake” Technology is Deeply Concerning
“Deepfakes” – AI generated fake images, videos, and audio files – are becoming more commonplace as their proliferation across the internet explodes.
Bad Robots: “Race Blind” Medical Algorithm Fraught With … (wait for it) … Racial Bias
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
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 Recruitment Software Discriminated Against Female Applicants
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 discriminates against women
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.”
Bad Robots – Robot mixes up mixed races
Microsoft recently put plans in place to replace its human journalists at MSN.com with robots.
Bad Robots – Racial Bias
Algorithms determine that ‘black’ offenders twice as likely to reoffend as ‘white’ offenders
Bad Robots
Bad Robot Outcome: AI determines a heart attack for men = panic attack for women
Ethical AI Whitepapers
Business Canvas for Ethical AI, Richard Vidgen
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.