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thical Considerations In Artificial Intelligence

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 thical Considerations In Artificial Intelligence

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Ethical Considerations In Artificial Intelligence
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.53 GB | Duration: 1h 53m


Navigating Ethical Boundaries in AI

What you'll learn

Identify and articulate the key ethical considerations associated with the development and use of Artificial Intelligence in various organizational contexts.

Assess the effects of AI on society, including issues related to bias, privacy, and accountability, and recognize their implications for organizations.

Explain the critical role internal auditors play in evaluating and promoting ethical practices surrounding AI technologies within their organizations.

Perform risk assessments focused on AI-related ethical challenges, identifying potential areas of concern and suggesting mitigation strategies.

Advocate for best practices that foster transparency and fairness in AI systems, enhancing trust among stakeholders.

Lead discussions on ethical AI usage within organizations, encouraging a culture of integrity and responsibility in AI deployment.

Requirements

Participants are encouraged to have the following foundational knowledge and skills before enrolling in the Ethics in Artificial Intelligence for Auditors course:

Familiarity with auditing concepts, methodologies, and practices is essential for engaging with the course material.

A general understanding of AI technologies, including machine learning and data analytics, will enhance participants' comprehension of ethical implications.

Prior experience in risk assessment or compliance roles will be beneficial for contextualizing the discussions on ethical boundaries.

Familiarity with relevant regulations and guidelines concerning data privacy and ethical use of technology, such as GDPR or CCPA, is advantageous.

A willingness to engage in discussions about ethics and responsibility in technology use will contribute to a productive learning environment.

While these prerequisites are recommended, a strong motivation to learn about the ethical dimensions of AI will also support participants' success in the course.

 

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