Regulating Explainability in Machine Learning Applications--Observations from a Policy Design Experiment
N Nahar, J Rowlett, M Bray, ZA Omar… - The 2024 ACM …, 2024 - dl.acm.org
With the rise of artificial intelligence (AI), concerns about AI applications causing unforeseen
harms to safety, privacy, security, and fairness are intensifying. While attempts to create …
harms to safety, privacy, security, and fairness are intensifying. While attempts to create …
[PDF][PDF] Regulating Explainability in Machine Learning Applications–Observations from a Policy Design Experiment
N Nahar, J Rowlett, M Bray, ZA Omar, X Papademetris… - 2024 - facctconference.org
With the rise of artificial intelligence (AI), concerns about AI applications causing unforeseen
harms to safety, privacy, security, and fairness are intensifying. While attempts to create …
harms to safety, privacy, security, and fairness are intensifying. While attempts to create …
[PDF][PDF] Regulating Explainability in Machine Learning Applications–Observations from a Policy Design Experiment
N NAHAR, J ROWLETT, M BRAY, ZA OMAR… - cs.cmu.edu
ACM FAccT'24, June 3–6, 2024, Rio de Janeiro, Brazil N. Nahar et al. cynicism and
pessimism as people remain unconvinced about the effectiveness of governmental …
pessimism as people remain unconvinced about the effectiveness of governmental …
[PDF][PDF] Regulating Explainability in Machine Learning Applications–Observations from a Policy Design Experiment
N NAHAR, J ROWLETT, M BRAY, ZA OMAR… - cs.cmu.edu
ACM FAccT'24, June 3–6, 2024, Rio de Janeiro, Brazil N. Nahar et al. cynicism and
pessimism as people remain unconvinced about the effectiveness of governmental …
pessimism as people remain unconvinced about the effectiveness of governmental …