Course Summary
Why Get Ethical Emerging Technologist Training?
As organizations acquire extraordinary amounts of data and use the information learned from this data to understand their businesses processes, opportunities, audience, risks, and more, analyzing and applying these insights ethically has become critical.
Remove Biases:
• It is critical that data is utilized ethically to avoid the perpetuation of biases.
Create Ethical Frameworks:
• The frameworks that organizations rely on must reconcile the needs of ethical duties and business practicalities.
Detect and Mitigate Risks:
• Ethical treatment of data requires that ethical risks in the design, development, and deployment of data-driven technologies be identified and mitigated.
Communicate Effectively:
• Ethical values must be communicated to all stakeholders to ensure buy-in and compliance.
Lead Ethical Teams:
• A commitment to follow ethical practices comes from the top down, with team members engaged and incentivized for continual improvement.
Module 1: Fundamental Concepts for Data-Driven Technology Ethics
Module 2: Ethical Frameworks
Module 3: Risk Identification and Mitigation
Module 4: Communication
Module 5: Organizational Policy and Governance
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