Building blocks of a course for aspiring AI-Ethicists

Murat Durmus (CEO @AISOMA_AG)
2 min readOct 23, 2022
Building blocks of a course for aspiring AI-Ethicists — Murat Durmus

I’ve been thinking about what the building blocks of a course for aspiring AI-Ethicists might look like; It becomes apparent that AI ethicists’ activities are highly interdisciplinary and challenging.

The points serve as a suggestion and you are welcome to suggest further points in the comments.

◆ History and Philosophy of AI

◆ Key concepts and types of AI (Machine Learning)

  • Supervised Learning
  • Unsupervised Learning
  • Semi-Supervised Learning
  • Self-Supervised Learning
  • Reinforcement Learning
  • Strong & Weak AI
  • o Difference between classical programming, statistics, and machine learning

◆ Data Awareness & Literacy

◆ Data Ethics Concepts

◆ The future of AI (what can we expect)

◆ Ethical Theories

  • Utilitarian
  • Rights-based ethics

◆ Ethical implications of AI

◆ Technology and the Greater Human Good

◆ Core ethical principles

  • Diversity, non-discrimination, and fairness
  • Transparency
  • Accountability
  • Explainability
  • Human agency and oversight
  • Technical robustness and safety
  • Privacy and data governance
  • Societal and environmental wellbeing

◆ Gender transformative operationalization of ai principles

◆ Human Rights & AI

◆ Cognitive Biases

◆ Types of Algorithmic Bias

◆ How to investigate and identify bias in algorithmic decisions

◆ Challenges of explainability & interpretability

◆ Privacy (Privacy-Preserving Machine Learning/Federated Learning)

◆ Ethical and moral issues associated with the development and implementation of AI

◆ How to make AI GDPR Compliant

◆ AI Regulation

◆ The criminal potential of AI

◆ The psychological and sociological aspects of AI

◆ Investigating Human-Machine interaction

◆ Concepts for ethical AI in education

◆ Human & Nature Centric AI

◆ Economics of Intelligent Automation

◆ How to put AI Ethics into practice

◆ Artificial Intelligence & Law

◆ Measuring & auditing AI applications

last not but least: “A kind of Mantra” (source: The AI Thought Book)

AI kind of Mantra — (THE AI Thought Book)

Murat

(Excerpt from the Book: “MINDFUL AI: Reflections on Artificial Intelligence”)

Available on Amazon: MINDFUL AI

MINDFUL AI

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Murat Durmus (CEO @AISOMA_AG)
Murat Durmus (CEO @AISOMA_AG)

Written by Murat Durmus (CEO @AISOMA_AG)

CEO & Founder @AISOMA_AG | Author | #ArtificialIntelligence | #CEO | #AI | #AIStrategy | #Leadership | #Philosophy | #AIEthics | (views are my own)

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