Description
- Content:
- Ethical Issues in AI and Machine Learning
- Bias and Fairness in AI Algorithms
- Privacy and Data Protection in AI
- AI Accountability and Liability
- Legal and Ethical Frameworks for AI
- Solutions to Ethical Challenges in AI
- Prerequisites:
- Basic knowledge in AI and ethics required.
- Certification Requirement:
- Without certification option
- Conduction Method:
- Online (For on-site or in-house training, please send us a request via our contact form (Contact - intellcert). We will get in touch with you shortly thereafter.)
- Language:
- English
- Target Audience:
- AI developers
- Corporate ethicists
- Learning Objectives:
- Understanding the ethical challenges that arise in the development and application of AI systems.
- Knowledge of key topics such as privacy, fairness, transparency, and discrimination in AI models.
- Developing solutions to integrate ethical principles into AI development.
- Ability to analyze potential social and economic impacts of AI technologies.
- Note:
- Displayed price excl. VAT
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