quartz/content/notes/ethics-in-cs.md

title	tags
ethics-in-cs	cosc202

ethics-in-cs

1 Case studies

1. facial-recognition-in-US-riots-2021-01-06
2. anti-govt-protest-china
3. how-is-safe-enough-for-autonomous-vehicles

1.1 Differences 1 vs 2

Govt vs vigilante

my judgements contain additionl context e.g., pro-democratic vs anti

world contains vast differences how systems of laws work extent of civil liberties afforded to individuals

1.2 Discussion

When developing a technology you dont know what is could be used for

2 Ethical handling of data

• Data moves very quickly due to computerised systems
• privacy act 2020
• its unethical to ignore potential security problems
  • df

3 Ethical handling of bias and errors, e.g., in AI

• large datasets oftenb incdlude bias and errors
  • to AI trained on these datasets with also be biased
  • e.g., facial recognition trining overrepresenting white males
• ML algorithgms are often opqaue
  • its not possible to understand how decisions are reached
  • makes asessing suitability of AI for a use case difficult
• explainable AI
• attacks e.g., 'trapdoors' within ML training data

4 False or misleading claims

• pressure to release can lead to false claims
  • are features fully tested
• need to assess risks of bias
• e.g., AWS uptime information
  • rumoured that service status colour is n management decision

5 Your responsibility

• dont stay silent

6 Professional reponsibilities

• comp science per se lacks profressional standards
• there are some prefessional bodies which encoede responsibilities
  • ACM coc
  • IEEE coc
  • neither are specific to NZ
• Within NZ must consider treaty obligations