Trace: Transparency

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
eis:types:discrimination [2025/02/04 16:02] – [Examples:] tomeis:types:discrimination [2025/02/04 18:27] (current) tom
Line 18: Line 18:
 the people with a different skin color or a different the people with a different skin color or a different
 background like. I don’t think that’s relevant at all, background like. I don’t think that’s relevant at all,
-and it shouldn’t be in such an application process.''+and it shouldn’t be in such an application process.''[1]
  
 __Neutral:__ __Neutral:__
  
-''That’s the exact same thing when you go and inter- +''That’s the exact same thing when you go and interview with, say, a director that has a certain mindset.
-view with, say, a director that has a certain mindset.+
 Let’s say that he’s a, kind of had only experiences Let’s say that he’s a, kind of had only experiences
 with white people from Harvard, and will only talk to with white people from Harvard, and will only talk to
Line 29: Line 28:
 from someone that just came from a country that is from someone that just came from a country that is
 on a visa to work and everything. It’s biased, and it’s on a visa to work and everything. It’s biased, and it’s
-illegal, actually, to discriminate against specific mi- +illegal, actually, to discriminate against specific minorities. But this guy only knows that the job is done
-norities. But this guy only knows that the job is done+
 and can be done by Harvard students that are white. and can be done by Harvard students that are white.
 You know what I mean? This is just what always has You know what I mean? This is just what always has
-happened'' +happened.''[1] 
-<wrap lo>It is not clear if this person condemns such behavior of software. They state that things have always been that way. To them it is obvious that algorithms will mimic human biases. But they are not clear about if they want the software to be changed to address this issue.</wrap>+<wrap lo>It is not clear if this person condemns such behavior of software. They state that things have always been that way. To them it is obvious that algorithms will mimic human biases. But they are not clear about if they want the software to be changed to address this issue. They can oppose discrimination and still be in favor of not addressing this issue in software.</wrap>
  
 __In favor:__ __In favor:__
 +
 +===== References =====
 +
 +<WRAP group>
 +<WRAP half column>
 +[1] Yagil Elias, Tom P. Humbert, Lauren Olson, Emitzá Guzmán. What is unethical about software? User perceptions in the Netherlands. Proceedings of ICSE-SEIS (2025). IEEE.\\
 +[2] Tjikhoeri, N., Olson, L. & Guzmán, E. The best ends by the best means: ethical concerns in app reviews. Empir Software Eng 29, 138 (2024). https://doi.org/10.1007/s10664-024-10463-7\\
 +</WRAP>
 +<WRAP half column>
 +[3] L. Olson, E. Guzmán and F. Kunneman, "Along the Margins: Marginalized Communities’ Ethical Concerns about Social Platforms," 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS), Melbourne, Australia, 2023, pp. 71-82, doi: 10.1109/ICSE-SEIS58686.2023.00013.
 +</WRAP>
 +</WRAP>
 +
eis/types/discrimination.1738681337.txt.gz · Last modified: by tom