The power of extracting value from data utilizing Artificial Intelligence, Data Science, and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout decision-making to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we apply ethical principles to data-driven technology?
Objectives
To provide business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data-driven technologies and the impact to an organization that ignores the ethical use of technology.
Outline
Below is the course content, which includes a detailed outline of topics and materials covered in the course. Explore and enhance your knowledge!
Introduction to data ethics
- Define ethics
- Define data
- Define data ethics
- Principles of data ethics
- The case for data ethics
- Identifying ethical issues
Ethical principles
- Ethical frameworks
- Applying ethical frameworks
- Privacy, fairness, and safety
- Applying privacy, fairness, and safety principles
- Algorithms and human-centered values
- Discussing true and false positives and negatives
- Discussing accuracy and precision
- Discussing correlation and causation
- Transparency and Explainability: the black box problem
Discussing black box parallels
- Inclusive growth, sustainable development, and well-being
- Examining a tech for good organization
- Improving ethical data practices
Sources of ethical risk
- Bias and discrimination
- Case study: Allegheny family screening tool
- Data Surveillance
- Safety and Security
- Case study: PredPol
- Business considerations
- Data legislation
- Manage the effects of data
- Case study
- Embed organizational values in the data value chain
- Building a data ethics culture/code of ethics
- Stakeholder checklist
Pre-Requisite
To ensure your success in this course, you should have a working knowledge of general business concepts and practices. You should also have a basic understanding of Artificial Intelligence and Data Science. You can obtain this level of skills and knowledge by taking the following CertNexus courses:
- AIBIZ Artificial Intelligence for Business Professionals
- DSBIZ Data Science for Business Professionals
Methodology
- Batch-wise training
- Practical hands-on training with real-time examples
