Foundations of ethical algorithms - ประวัติรุ่นแก้ไข

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@@ แถว 14: / แถว 14: @@
 **** COMPAS. [https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Machine Bias (ProPublica)] &nbsp; | &nbsp; [https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm How We Analyzed the COMPAS Recidivism Algorithm (ProPublica) by Jeff Larson, Surya Mattu, Lauren Kirchner and Julia Angwin]
 **** Hiring bias. [https://hbr.org/2019/05/all-the-ways-hiring-algorithms-can-introduce-bias Miranda Bogen, All the Ways Hiring Algorithms Can Introduce Bias, HBR, May 2019]
 *** Interpretability
 **** CACM Review. [https://cacm.acm.org/magazines/2020/1/241703-techniques-for-interpretable-machine-learning/fulltext Du, Liu, Hu. Techniques for Interpretable Machine Learning. CACM, Jan 2020]

@@ แถว 10: / แถว 10: @@
 **** GWAS privacy. [https://pubmed.ncbi.nlm.nih.gov/18769715/ Homer N, Szelinger S, Redman M, et al. Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genet. 2008;4(8):e1000167. Published 2008 Aug 29. doi:10.1371/journal.pgen.1000167]
 *** Fairness
-**** Review. [https://cacm.acm.org/magazines/2020/5/244336-a-snapshot-of-the-frontiers-of-fairness-in-machine-learning/fulltext Chouldechova and Roth, A Snapshot of the Frontiers of Fairness in Machine Learning, CACM, May 2020]
+**** CACM Review. [https://cacm.acm.org/magazines/2020/5/244336-a-snapshot-of-the-frontiers-of-fairness-in-machine-learning/fulltext Chouldechova and Roth, A Snapshot of the Frontiers of Fairness in Machine Learning, CACM, May 2020]
 **** Word embedding. [https://arxiv.org/abs/1607.06520 Bolukbasi, Chang, Zou, Saligrama, Kalai. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.]
 **** COMPAS. [https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Machine Bias (ProPublica)] &nbsp; | &nbsp; [https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm How We Analyzed the COMPAS Recidivism Algorithm (ProPublica) by Jeff Larson, Surya Mattu, Lauren Kirchner and Julia Angwin]
 **** Hiring bias. [https://hbr.org/2019/05/all-the-ways-hiring-algorithms-can-introduce-bias Miranda Bogen, All the Ways Hiring Algorithms Can Introduce Bias, HBR, May 2019]
 *** Interpretability
-**** Review. [https://cacm.acm.org/magazines/2020/1/241703-techniques-for-interpretable-machine-learning/fulltext Du, Liu, Hu. Techniques for Interpretable Machine Learning. CACM, Jan 2020]
+**** CACM Review. [https://cacm.acm.org/magazines/2020/1/241703-techniques-for-interpretable-machine-learning/fulltext Du, Liu, Hu. Techniques for Interpretable Machine Learning. CACM, Jan 2020]
 *** 2nd Wave of Algorithmic Accountability
 **** [https://onezero.medium.com/the-seductive-diversion-of-solving-bias-in-artificial-intelligence-890df5e5ef53 Julia Powles and Helen Nissenbaum, The Seductive Diversion of ‘Solving’ Bias in Artificial Intelligence]

@@ แถว 14: / แถว 14: @@
 **** COMPAS. [https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Machine Bias (ProPublica)] &nbsp; | &nbsp; [https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm How We Analyzed the COMPAS Recidivism Algorithm (ProPublica) by Jeff Larson, Surya Mattu, Lauren Kirchner and Julia Angwin]
 **** Hiring bias. [https://hbr.org/2019/05/all-the-ways-hiring-algorithms-can-introduce-bias Miranda Bogen, All the Ways Hiring Algorithms Can Introduce Bias, HBR, May 2019]
 *** 2nd Wave of Algorithmic Accountability
 **** [https://onezero.medium.com/the-seductive-diversion-of-solving-bias-in-artificial-intelligence-890df5e5ef53 Julia Powles and Helen Nissenbaum, The Seductive Diversion of ‘Solving’ Bias in Artificial Intelligence]

@@ แถว 10: / แถว 10: @@
 **** GWAS privacy. [https://pubmed.ncbi.nlm.nih.gov/18769715/ Homer N, Szelinger S, Redman M, et al. Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genet. 2008;4(8):e1000167. Published 2008 Aug 29. doi:10.1371/journal.pgen.1000167]
 *** Fairness
 **** Word embedding. [https://arxiv.org/abs/1607.06520 Bolukbasi, Chang, Zou, Saligrama, Kalai. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.]
 **** COMPAS. [https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Machine Bias (ProPublica)] &nbsp; | &nbsp; [https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm How We Analyzed the COMPAS Recidivism Algorithm (ProPublica) by Jeff Larson, Surya Mattu, Lauren Kirchner and Julia Angwin]

@@ แถว 12: / แถว 12: @@
 **** Word embedding. [https://arxiv.org/abs/1607.06520 Bolukbasi, Chang, Zou, Saligrama, Kalai. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.]
 **** COMPAS. [https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Machine Bias (ProPublica)] &nbsp; | &nbsp; [https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm How We Analyzed the COMPAS Recidivism Algorithm (ProPublica) by Jeff Larson, Surya Mattu, Lauren Kirchner and Julia Angwin]
 *** 2nd Wave of Algorithmic Accountability
 **** [https://onezero.medium.com/the-seductive-diversion-of-solving-bias-in-artificial-intelligence-890df5e5ef53 Julia Powles and Helen Nissenbaum, The Seductive Diversion of ‘Solving’ Bias in Artificial Intelligence]

@@ แถว 15: / แถว 15: @@
 **** [https://onezero.medium.com/the-seductive-diversion-of-solving-bias-in-artificial-intelligence-890df5e5ef53 Julia Powles and Helen Nissenbaum, The Seductive Diversion of ‘Solving’ Bias in Artificial Intelligence]
 **** [https://lpeproject.org/blog/the-second-wave-of-algorithmic-accountability/ Frank Pasquale, The Second Wave of Algorithmic Accountability]
-**** [https://dl.acm.org/doi/abs/10.1145/3375627.3375839 Frank Pasquale. 2020. Machines Judging Humans: The Promise and Perils of Formalizing Evaluative Criteria. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES ’20). Association for Computing Machinery, New York, NY, USA, 7.]
+**** [https://dl.acm.org/doi/abs/10.1145/3375627.3375839 Frank Pasquale. 2020. Machines Judging Humans: The Promise and Perils of Formalizing Evaluative Criteria. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES ’20)]
 **** [https://boingboing.net/2019/12/04/fundamental-critique.html Doctorow, Second wave Algorithmic Accountability: from "What should algorithms do?" to "Should we use an algorithm?", BoingBoing]

@@ แถว 5: / แถว 5: @@
 * Week 1: Introduction
 ** เอกสารอ้างอิง
-*** [https://dataprivacylab.org/projects/identifiability/paper1.pdf L. Sweeney, Simple Demographics Often Identify People Uniquely. Carnegie Mellon University, Data Privacy Working Paper 3. Pittsburgh 2000.]
+*** Privacy
-*** Netflix Prize. [https://www.cs.cornell.edu/~shmat/shmat_oak08netflix.pdf Arvind Narayanan and Vitaly Shmatikov, How To Break Anonymity of the Netflix Prize Dataset] &nbsp; | &nbsp; [https://www.cs.cornell.edu/~shmat/netflix-faq.html FAQ]
+**** [https://dataprivacylab.org/projects/identifiability/paper1.pdf L. Sweeney, Simple Demographics Often Identify People Uniquely. Carnegie Mellon University, Data Privacy Working Paper 3. Pittsburgh 2000.]
-*** GWAS privacy. [https://pubmed.ncbi.nlm.nih.gov/18769715/ Homer N, Szelinger S, Redman M, et al. Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genet. 2008;4(8):e1000167. Published 2008 Aug 29. doi:10.1371/journal.pgen.1000167]
+**** Netflix Prize. [https://www.cs.cornell.edu/~shmat/shmat_oak08netflix.pdf Arvind Narayanan and Vitaly Shmatikov, How To Break Anonymity of the Netflix Prize Dataset] &nbsp; | &nbsp; [https://www.cs.cornell.edu/~shmat/netflix-faq.html FAQ]
-*** Word embedding. [https://arxiv.org/abs/1607.06520 Bolukbasi, Chang, Zou, Saligrama, Kalai. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.]
+**** GWAS privacy. [https://pubmed.ncbi.nlm.nih.gov/18769715/ Homer N, Szelinger S, Redman M, et al. Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genet. 2008;4(8):e1000167. Published 2008 Aug 29. doi:10.1371/journal.pgen.1000167]
-*** COMPAS. [https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Machine Bias (ProPublica)] &nbsp; | &nbsp; [https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm How We Analyzed the COMPAS Recidivism Algorithm (ProPublica) by Jeff Larson, Surya Mattu, Lauren Kirchner and Julia Angwin]
+*** Fairness
-*** 2nd Wave of Algorithmic Accountability: [https://onezero.medium.com/the-seductive-diversion-of-solving-bias-in-artificial-intelligence-890df5e5ef53 Julia Powles and Helen Nissenbaum, https://onezero.medium.com/the-seductive-diversion-of-solving-bias-in-artificial-intelligence-890df5e5ef53] &nbsp; | &nbsp; [https://lpeproject.org/blog/the-second-wave-of-algorithmic-accountability/ Frank Pasquale, The Second Wave of Algorithmic Accountability] &nbsp; | &nbsp; [https://dl.acm.org/doi/abs/10.1145/3375627.3375839 Frank Pasquale. 2020. Machines Judging Humans: The Promise and Perils of Formalizing Evaluative Criteria. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES ’20). Association for Computing Machinery, New York, NY, USA, 7.]  &nbsp; | &nbsp; [https://boingboing.net/2019/12/04/fundamental-critique.html Doctorow, Second wave Algorithmic Accountability: from "What should algorithms do?" to "Should we use an algorithm?", BoingBoing]
+**** Word embedding. [https://arxiv.org/abs/1607.06520 Bolukbasi, Chang, Zou, Saligrama, Kalai. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.]
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