Do you differentiate AI Ethics principles between AI/ML fields like GenAI/LLMs or Knowledge Graph-based ML? How do we deal with so-called facts on the internet as training data?
Exploring the nuances of AI ethics across different AI/ML fields and handling internet-based training data responsibly.
TL;DR ⏱️
- AI ethics principles across different AI/ML fields
- Personal background and perspective on AI ethics
- Recommendations and further reading on AI ethics
- Questions to ponder on AI ethics practices
My Background and Perspective 👶
- AI ethics is always the same. No matter if GenAI, Computer Vision, or Knowledge Graph-based ML!
- In recent years, I had three main focus areas in the field of AI: My Ph.D. passion in Knowledge Graph-based Machine Learning, before a focus on computer vision, and most recently GenAI with a focus on text
- It was always important for me to take a holistic approach. This includes ethical and sustainability aspects in particular.
- In our paper on Ethical and Sustainability Implications for Knowledge Graph-based Machine Learning, we have elaborated on topics I also recently found in the literature on LLM AI Ethics [1,2].
- I see a chance that AI areas majorly align in the AI Ethics dimensions, so we can easily learn from each other and share best practices
Recommendation 👍🏽
- At this point, I recommend a well-known but still very valid paper as an introduction to LLM ethics for those who may not yet know it or are new to the field: On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? by Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell [1]
Further Reading 📖
- [1] On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? https://lnkd.in/eGt_UYci
- [2] Ethical and Sustainability Considerations for Knowledge Graph-based Machine Learning https://lnkd.in/eJjATkTQ
I hope that all those who develop such powerful tools are aware of their responsibility, especially in the context of dual-use, to use their skills in a reflective manner.
What is your perspective? 🤔
- Do you see differences in the overarching AI Ethics depending on the AI field?
- What are your preferred AI Ethics Survey Papers?
- Where do you consider AI Ethics in your daily R&D AI work?
- What real issues could arise in ML models through the Wikipedia Chuck Norris fact (see image)?
I appreciate having a GenAI R&D team Comma Soft AG that is aware of the AI ethical implications of our work. For more content, follow me on LinkedIn or reach out to me over PM ❤️
#AIethics #artificialintelligence #llm #genai #knowledgegraphs