The power of extracting value from data utilizing artificial intelligence (AI), data science (DS), and machine learning (ML) 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 with the 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.

DEBIZ (Exam DEB-110): Data Ethics for Business Professionals
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DEBIZ (Exam DEB-110): Data Ethics for Business Professionals

Instructor: Bill Rosenthal
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What you'll learn
Identify sources of ethical risk and bias in your data collection and algorithms to prevent organizational harm and discrimination.
Apply philosophical frameworks and data legislation like GDPR to ensure your technology solutions remain legally compliant and trustworthy.
Embed values like privacy, transparency, and accountability across your organization's entire data value chain to protect your business reputation.
Learn by doing. Perform guided, step-by-step hands-on activities on your own computer.
Skills you'll gain
- Legal Risk
- Artificial Intelligence and Machine Learning (AI/ML)
- Ethical Standards And Conduct
- Information Privacy
- Artificial Intelligence
- Business Strategy
- Safety and Security
- Sustainable Development
- Human Centered Design
- Decision Making
- Responsible AI
- Accountability
- Data Ethics
- Business Ethics
- Emerging Technologies
- Law, Regulation, and Compliance
- Medical Privacy
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There are 5 modules in this course
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