ARTICLE #AIethics #ResponsibleAI #InclusiveAI
🌐Discover the future of AI ethics in our latest co-written article!
🤖 Delve into the realm of ethical AI to explore key principles like fairness, transparency, and accountability.
🔍Learn how AI's impact on human rights and privacy demands our attention. Uncover the role of trust, security, and identifying bias in AI systems.
Read the Executive Summary here. Gain valuable perspectives on shaping a responsible AI in the full article.
Photo credit: AI-generated art for free with craiyon
ARTICLE on 7 Key Principles of #AIethics
The best way to develop products and services is to rely on a rock-solid ethic. 7 key ethical principles stand out in the current ocean of ethical charters developed for new technologies such as the Internet of Things and artificial intelligence:
TRANSPARENCY PRIVACY SAFETY & SECURITY EXPLAINABILITY FAIRNESS INCLUSIVITY RESPONSIBILITY
Droople, a Swiss cleantech, applies these 7 "commandments" in real life to build the Water Internet.
These fundamental convictions help this startup to make better ethical decisions in an extremely professional way. All stakeholders understand what is being measured and how the data is being used. This "glass box" concept mitigates the risks associated with unethical behaviors and takes advantage of the opportunities to co-create a smarter water world.
This paper, published in the June 2021 edition of Smart Water Magazine, highlights how crystal clear best practices build strong ethics for the digital world. It is also available on Droople website and the French version can be found on our Ressources page.
POST SERIE: Fundamentals of Ethics in AI
If you're looking to find out why ethics is important, learn about the fundamentals of ethics in AI, have examples of AI bias, here are the posts you need. Published on LinkedIn in 2021, they are gathered here for a condensed reading (in French):
Post #1 Pourquoi l'éthique est-elle si important dans l'IA ?
Post #2 Problèmes liés aux données et biais
Post #3 Black Box or Glass Box?
Post #4 L’IA et ses biais : fatalité ou opportunité ?
Post #5 L'IA et les biais dans les données #data
Post #6 Comment construire des modèles éthiques ?
Post #7 Erosion de notre vie privée : une réalité
What are your favorite topics ? What would you like to discuss?