Module 1: Data, Ethics, and Law
Data, ethics, and law
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Designing the data revolution
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The age of big data
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Ethical foundations: Part 1
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Ethical foundations: Part 2
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Ethical foundations: Part 3
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Law, analytics, and society
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Different types of law
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IRAC analysis
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Subjective to objective
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A Data oath
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IRAC application
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Explore the compassions data set: Part 1
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Explore the compassions data set: Part 2
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Explore the compassions data set: Part 3
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Module 2: Data, Individuals, and Society
Data, individuals, and society
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Bias in data processing: Part 1
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Bias in data processing: Part 2
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Legal concerns for equality
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Bias and legal challenges
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Consumers and policy
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Employment and policy
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Education and policy
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Policing and policy
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Best practices to remove bias
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Descriptive analytics and identity
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Privacy, privilege, or right
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Privacy law and analytics
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Negligence law and analytics
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Power imbalances
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IRAC application
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Module 3: Data Ethics and Law in Business
Data ethics and law in business
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Handling consumer data
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Handling employee data
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Ethics in hiring with big data
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Digital market manipulation
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The evolution of privacy and technology
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Data privacy and security best practices
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GDPR
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GDPR, big data, and AI
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IRAC application
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The ethics and variables of recidivism
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Module 4: Artificial Intelligence and Future Opportunities
AI and future opportunities
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From analytics to AI
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AI design principles
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Example autonomous cars
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Values like ours
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Why XAI
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XAI the issues
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XAI complex algorithms
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XAI or GAI
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Algorithms and accountability
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Ex_Files_Ethics_Law_Data_Analytics.zip
(1.0 MB)
Glossary_EthicsLaw_DataAnalytics.zip
(100 KB)