BLUF
There is a complex divide in artificial intelligence ethical research, all to the detriment of understanding the full impact of this technology.Summary
This article by Kelsey Piper, writing for Vox, makes these points about developments in Artificial Intelligence (AI) ethics:
- There are essentially two branches of AI ethical research, bias and alignment
- Each approach seems to be mutually exclusive, which might not help to solve the complex ethical AI dilemma
- Bias concentrates on racist or sexist exclusions within AI
- Alignment is about understanding how AI might be able to manage human-based systems
- Bias is a current focus to account for stupid AI, but as AI evolves, alignment should emerge
- Piper argues AI ethics research needs to focus on managing the implications of modern AI, and AI alignment research on preparing for powerful future systems
References
Recent Runway Posts related to this topic:
- What is AI? Here's everything you need to know about artificial intelligence – TheRunway (airforce.gov.au)
- The artificial intelligence ‘backseater’ in future air combat – TheRunway (airforce.gov.au)
- 7 Types Of Artificial Intelligence – TheRunway (airforce.gov.au)
- Artificial Intelligence and International Security – TheRunway (airforce.gov.au)
References from the Web :
- OCT 2020 Great promise but potential for peril – The Harvard Gazette
- JAN 2022 Why we need to think about diversity and ethics in AI – Australian Government
- AUG 2022 (accessed) Recommendation on the ethics of artificial intelligence - UNESCO
