CertNexus Data Ethics for Business Professionals (DEBIZ)
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 the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we train them to apply ethical principles as they learn from decisions they make? This course provides 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 which ignores ethical use of technology.
Agenda
- Defining Data Ethics
- The Case for Data Ethics
- Identifying Ethical Issues
- Improving Ethical Data Practices
- Ethical Frameworks
- Data Privacy
- Accountability
- Transparency and Explainability
- Human-Centered Values and Fairness
- Inclusive Growth, Sustainable Development, and Well-Being
- Applying Ethical Principles to Emerging Technology
- Improving Ethical Data Practices
- Mitigating Bias
- Mitigating Discrimination
- Safety and Security
- Mitigating Negative Outputs
- Data Surveillance
- Assessing Risk Ethical Risks in sharing data
- Applying professional critical judgement
- Data Legislation
- Impact of Social and Behavioral Effects
- Trustworthiness
- Impact on Business Reputation
- Organizational Values and the Data Value Chain
- Building a Data Ethics Culture/Code of Ethics
- Balancing organizational goals with Ethical Practice
FREE
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Course Type: Instructor Led