100+ ACM FAccT Conference Courses & Certifications [2023] | Learn Online for Free

Association for Computing Machinery (ACM)

Standardized Tests and Affirmative Action: The Role of Bias and Variance

Syllabus: Introduction Model Results Theorems Application Conclusion

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Less than 1 hour of material
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Association for Computing Machinery (ACM)

Mitigating Bias in Set Selection with Noisy Protected Attributes

Syllabus: Introduction Subset Selection Fair Subset Selection Missing Protected Attributes Noise Model Denoise Problem Simulation Fairness Metric Conclusion

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Less than 1 hour of material
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Association for Computing Machinery (ACM)

Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies

Syllabus: Introduction Problem Statement Definition Data Levers Data Laundering Conscious Data Contribution Tech Company Practices Research Opportunities

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Less than 1 hour of material
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Association for Computing Machinery (ACM)

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for

Syllabus: Introduction Background Confounding Analysis Conclusion

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Association for Computing Machinery (ACM)

Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness

Syllabus: Introduction Motivation Example Literature Review Impact on Solidarity Impact on actuarial fairness

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Less than 1 hour of material
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Association for Computing Machinery (ACM)

Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream C

Syllabus: Introduction Motivation Proof Experimental Pipeline Results Conclusion

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Less than 1 hour of material
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Association for Computing Machinery (ACM)

Towards Fair Deep Anomaly Detection

Syllabus: Introduction Deep SVDD Anonymity Detection Outline The 80 Rule Proposed Framework adversarial learning minimizing adversarial loss pipeline extensions Experiments Results Experimental Results Summary

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Less than 1 hour of material
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Association for Computing Machinery (ACM)

The Effect of Differential Victim Crime Reporting on Predictive Policing Systems

Syllabus: Introduction Background Previous Work Model Synthetic Data Hotspot Prediction Results Rescaling Moving Average Model Conclusions

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Less than 1 hour of material
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Association for Computing Machinery (ACM)

Group Fairness: Independence Revisited

Syllabus: Introduction Background Definitions gerrymandering separation insufficiency independence is unfair increments of accuracy conclusions

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Less than 1 hour of material
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Association for Computing Machinery (ACM)

Representativeness in Statistics, Politics, and Machine Learning

Syllabus: Introduction Statistical Roots Representation in Science Representation in Fact Normative Tensions Crop Reporting Exclusionary Representativeness Summary

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Association for Computing Machinery (ACM)

Translation Tutorial: Thinking through and writing about research ethics beyond “broader impact”

Syllabus: Introduction Agenda What is research ethics Research ethics vs broader impact Research ethics is formulaic Research ethics is not censorship Research ethics is not subjective Common misconception about research ethics Imagination exercise First…

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Association for Computing Machinery (ACM)

Translation Tutorial: Data Externalities

Syllabus: Intro Three Case Studies The Players Where to look for Values of Privacy A Data Externality Summary of Observations Data Sharing is Excessive Reimbursements are Low Data is Substitutable Individual Contracting Discussion Group 3: Enabling Colle…

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Association for Computing Machinery (ACM)

Translation Tutorial: Causal fairness analysis

Syllabus: Structural Causal Model (SCM) SCM M + Causal Diagram G Berkeley admission Students apply for university's admission (7), and choose specific departments to which they wish to COMPAS prediction. Northpointe are trying to predict represents the a…

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1-2 hours worth of material
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Association for Computing Machinery (ACM)

Implications Tutorial: Using Harms and Benefits to Ground Practical AI Fairness Assessments

Syllabus: Introduction Introductions Overview Project Background Project Team Outputs Context Harms and Benefits Approach Design Goals Methodology Overview Intended Uses of the Methodology The Assessment Assessment Questions System Objectives Context Met…

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1-2 hours worth of material
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Association for Computing Machinery (ACM)

Implications Tutorial: Responsible AI in Industry: Lessons Learned in Practice

Syllabus: Introduction Explainability Challenges Overview Machine Learning Ops Microsoft Tooling Interpret ML Fairness Toolkit Overview Case Studies Example Adoption Toolkits H2O Toolkit AI Open Scale AI Friends 360 Whatif Tool Performance Fairness FactC…

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1-2 hours worth of material
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Udemy Settles Lawsuit for $4 million

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ACM FAccT Conference Courses

Standardized Tests and Affirmative Action: The Role of Bias and Variance

Mitigating Bias in Set Selection with Noisy Protected Attributes

Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for

Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness

Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream C

Towards Fair Deep Anomaly Detection

The Effect of Differential Victim Crime Reporting on Predictive Policing Systems

Group Fairness: Independence Revisited

Representativeness in Statistics, Politics, and Machine Learning

Translation Tutorial: Thinking through and writing about research ethics beyond “broader impact”

Translation Tutorial: Data Externalities

Translation Tutorial: Causal fairness analysis

Implications Tutorial: Using Harms and Benefits to Ground Practical AI Fairness Assessments

Implications Tutorial: Responsible AI in Industry: Lessons Learned in Practice

Udemy Settles Lawsuit for $4 million

ACM FAccT Conference Courses

Standardized Tests and Affirmative Action: The Role of Bias and Variance

Mitigating Bias in Set Selection with Noisy Protected Attributes

Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for

Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness

Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream C

Towards Fair Deep Anomaly Detection

The Effect of Differential Victim Crime Reporting on Predictive Policing Systems

Group Fairness: Independence Revisited

Representativeness in Statistics, Politics, and Machine Learning

Translation Tutorial: Thinking through and writing about research ethics beyond “broader impact”

Translation Tutorial: Data Externalities

Translation Tutorial: Causal fairness analysis

Implications Tutorial: Using Harms and Benefits to Ground Practical AI Fairness Assessments

Implications Tutorial: Responsible AI in Industry: Lessons Learned in Practice

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