IEEE Bookmarks on Ethical AI Considerations


In this post, you will get to have bookmarks for ethical AI by IEEE (Institute of Electrical and Electronics Engineers) group. Those starting on the journey of ethical AI would find these bookmarks very useful. ML researchers and data scientists would also want to learn about ethical AI practices to apply them while building and testing the models. The following are some bookmarks on ethical AI considerations by IEEE group:

Ethical AI Guiding Principles

The primary goals (guiding principles) laid down by IEEE in relation to ethical AI are the following:

  • Fairness (Human Rights): Idea is to ensure that AI does not end up infringing on internationally recognized human rights.
  • Safety (Well-being): Design considerations should be made keeping in mind the well-being of humans.
  • Accountability: AI designers and developers are responsible for considering AI design, development, decision processes, and outcomes.
  • Transparency: AI-powered solutions operate in a transparent manner.
  • Security (Awareness of misuse): Solutions are secured enough not to be misused.

Who should get involved with Ethical AI

If you are one of the following, you would surely want yourself get up to speed on ethical AI principles:

  • Academic Educators
  • Corporate Board members and C-level executives
  • Government policy makers
Ajitesh Kumar

Ajitesh Kumar

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.
Ajitesh Kumar

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