When assessing the risk of AI harm, different actors will view this concept through different lenses.
Ethical AI Blog
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.