Projects
Assignments
Overview
This course delves into the crucial intersection of ethics and data-driven technology, providing insights into ethical principles, their application in emerging technologies, and the consequences of disregarding ethical considerations in business operations.
Objectives
By the end of this course, leaner will be able to:
- Understand the fundamentals of data ethics and its significance in contemporary business environments.
- Explore ethical frameworks and principles applicable to data-driven technologies.
- Learn to identify and address ethical issues inherent in data-driven decision-making processes.
- Gain insights into the impact of ethical considerations on organizational reputation and sustainability.
- Prepare for the CertNexus® DEBIZ™ (Exam DEB-110) credential.
Prerequisites
- Working knowledge of general business concepts and practices.
- Basic understanding of Artificial Intelligence and/or Data Science.
- Completion of CertNexus courses: AIBIZ™ Artificial Intelligence for Business Professionals and DSBIZ™ Data Science for Business Professionals.
Course Outline
Module 1: Introduction to Data EthicsCourses2024-02-18T11:58:42+05:30
- Defining Ethics, Data, and Data Ethics
- Principles of Data Ethics
- The Importance of Data Ethics
- Identifying Ethical Issues
Module 2: Ethical Principles and FrameworksCourses2024-02-18T12:00:56+05:30
- Exploring Ethical Frameworks
- Application of Ethical Frameworks
- Privacy, Fairness, and Safety Principles
Module 3: Algorithms, Human-Centered Values, and RisksCourses2024-02-18T12:01:48+05:30
- Understanding Algorithmic Impact
- Discussion on True and False Positives and Negatives
- Transparency and Explainability Issues
Module 4: Bias, Discrimination, and Case StudiesCourses2024-02-18T12:02:52+05:30
- Analysis of Bias and Discrimination in Data
- Case Studies: Allegheny Family Screening Tool and PredPol
Module 5: Business Considerations and Building Ethical CulturesCourses2024-02-18T12:09:28+05:30
- Data Legislation and Compliance
- Managing Ethical Effects of Data
- Embedding Organizational Values in the Data Value Chain
