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Benedikt (Ben) Höltgen's Recent LinkedIn Posts
Posts
Benedikt (Ben) Höltgen
Tech & AI
7mo
New ACM EAAMO paper out, joint work with Nuria Oliver, PhD at ELLIS Alicante Foundation!
https://lnkd.in/dUzxb_Jc
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
...Fairness Through Unawareness (omitting group attributes) can significantly reduce outcome inequality!
...it is often possible to reduce outcome inequality without reducing accuracy!
...Logistic Regression with group attributes is particularly prone to exacerbating inequality!
43
Benedikt (Ben) Höltgen
Tech & AI
7mo
New ACM EAAMO paper out, joint work with Nuria Oliver, PhD at ELLIS Alicante Foundation!
https://lnkd.in/dUzxb_Jc
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
...Fairness Through Unawareness (omitting group attributes) can significantly reduce outcome inequality!
...it is often possible to reduce outcome inequality without reducing accuracy!
...Logistic Regression with group attributes is particularly prone to exacerbating inequality!
43
Benedikt (Ben) Höltgen
Tech & AI
7mo
New ACM EAAMO paper out, joint work with Nuria Oliver, PhD at ELLIS Alicante Foundation!
https://lnkd.in/dUzxb_Jc
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
...Fairness Through Unawareness (omitting group attributes) can significantly reduce outcome inequality!
...it is often possible to reduce outcome inequality without reducing accuracy!
...Logistic Regression with group attributes is particularly prone to exacerbating inequality!
43
Benedikt (Ben) Höltgen
Tech & AI
7mo
New ACM EAAMO paper out, joint work with Nuria Oliver, PhD at ELLIS Alicante Foundation!
https://lnkd.in/dUzxb_Jc
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
...Fairness Through Unawareness (omitting group attributes) can significantly reduce outcome inequality!
...it is often possible to reduce outcome inequality without reducing accuracy!
...Logistic Regression with group attributes is particularly prone to exacerbating inequality!
43
Benedikt (Ben) Höltgen
Tech & AI
7mo
New ACM EAAMO paper out, joint work with Nuria Oliver, PhD at ELLIS Alicante Foundation!
https://lnkd.in/dUzxb_Jc
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
...Fairness Through Unawareness (omitting group attributes) can significantly reduce outcome inequality!
...it is often possible to reduce outcome inequality without reducing accuracy!
...Logistic Regression with group attributes is particularly prone to exacerbating inequality!
43
Benedikt (Ben) Höltgen
Tech & AI
7mo
New ACM EAAMO paper out, joint work with Nuria Oliver, PhD at ELLIS Alicante Foundation!
https://lnkd.in/dUzxb_Jc
Against common belief (but in line with the emerging multiplicity literature), we show theoretically and empirically that for algorithmic tasks like predicting unemployment...
...Fairness Through Unawareness (omitting group attributes) can significantly reduce outcome inequality!
...it is often possible to reduce outcome inequality without reducing accuracy!
...Logistic Regression with group attributes is particularly prone to exacerbating inequality!
43