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In this coures, you will :
- Recognize the data revolution concepts.
- Describe the relationship between ethics and data.
- Recognize the various types of bias that can occur when processing data.
- Connect the use of best practises to the use of big data.
- By design, define privacy.
- Interpret the General Data Protection Regulation's application to American businesses.
- Recognize data analytics and artificial intelligence concepts (AI).
- Examine the reasons for using XAI and GAI.
Syllabus :
1. Data, Ethics, and Law
- Data, ethics, and law
- Designing the data revolution
- The age of big data
- Ethical foundations
- Law, analytics, and society
- Different types of law
- IRAC analysis
- Subjective to objective
- A Data oath
- IRAC application
- Explore the compassions data set
2. Data, Individuals, and Society
- Data, individuals, and society
- Bias in data processing
- Legal concerns for equality
- Bias and legal challenges
- Consumers and policy
- Employment and policy
- Education and policy
- Policing and policy
- Best practices to remove bias
- Descriptive analytics and identity
- Privacy, privilege, or right
- Privacy law and analytics
- Negligence law and analytics
- Power imbalances
- IRAC application
3. Data Ethics and Law in Business
- Data ethics and law in business
- Handling consumer data
- Handling employee data
- Ethics in hiring with big data
- Digital market manipulation
- The evolution of privacy and technology
- Data privacy and security best practices
- GDPR
- GDPR, big data, and AI
- IRAC application
- The ethics and variables of recidivism
4. Artificial Intelligence and Future Opportunities
- AI and future opportunities
- From analytics to AI
- AI design principles
- Example autonomous cars
- Values like ours
- Why XAI
- XAI the issues
- XAI complex algorithms
- XAI or GAI
- Algorithms and accountability
