AI+ Ethics (AC-120 Self-Paced Training)
Ziele der Schulung
The AI+ Ethics certification is tailored for professionals who want to understand and apply ethical principles in the development and deployment of Artificial Intelligence. It equips learners with the knowledge and skills required to address ethical challenges such as bias, fairness, transparency, privacy, accountability, and regulatory compliance. The program provides practical frameworks, real-world case studies, and governance best practices to ensure responsible and trustworthy AI adoption within organizations and society.
What Will You Learn? Participants will learn to identify and mitigate bias in AI systems, apply ethical decision-making frameworks, ensure transparency and explainability, safeguard privacy and security, comply with legal and regulatory requirements, and implement effective AI governance models.
Zielgruppe Seminar
- Business leaders and executives involved in AI strategy and decision-making
- AI developers, engineers, and data scientists
- Ethics professionals, compliance officers, and governance specialists
- Policy makers and regulatory professionals working with AI
- Consultants and project managers overseeing AI initiatives
Voraussetzungen
- Foundational knowledge of Artificial Intelligence and Machine Learning concepts
- Awareness of social, cultural, and ethical impacts of AI
- Basic understanding of professional ethics and accountability
Seminarinhalt
Module 1: Overview of AI Ethics & Societal Impact
- 1.1 Introduction to Ethical Considerations in AI
- 1.2 Understanding the Societal Impact of AI Technologies
- 1.3 Strategies for Conducting Social and Ethical Impact Assessments
Module 2: Bias and Fairness in AI
- 2.1 Exploration of Biases in Data and Algorithms
- 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
Module 3: Transparency and Explainable AI
- 3.1 Importance of Transparent AI Systems
- 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
- 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
Module 4: Privacy and Security Issues in AI
- 4.1 Study frameworks for holding organizations accountable for the ethical use of AI.
- 4.2 Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
Module 5: Accountability and Responsibility
- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
Module 6: Legal and Regulatory Issues
- 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
- 6.2 Understanding Global Regulatory Issues for AI Technologies
- 6.3 Case Studies: GDPR Compliance
- 6.4 Legal Compliance of AI Tools
Module 7: Ethical Decision-Making Frameworks
- 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
- 7.2 Case Studies and Applications
- 7.3 Use of Simulation Platforms in Ethical Decision-Making
Module 8: AI Governance & Best Practices
- 8.1 Principles and Functions of International AI Governance
- 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
- 8.3 Case Studies on AI Governance
Module 9: Global AI Ethics Standards
- 9.1 Explore Standards: IEEE’s Ethically Aligned Design
- 9.2 Comparative Case Studies on Standard Implementations
- 9.3 Tools for Evaluating AI Systems Against Global Standards
Optional Module: AI Agents for Ethics and Its Implications
- Understanding AI Agents
- Case Studies
- Hands-On Practice with AI Agents
Hinweise
Prüfung und Zertifizierung
- Duration: 90 minutes
- Passing Score: 70%
- Format: 50 multiple-choice questions
- Delivery Method: Online proctored exam
Open Badge für dieses Seminar - Ihr digitaler Kompetenznachweis
Durch die erfolgreiche Teilnahme an einem Kurs bei IT-Schulungen.com erhalten Sie zusätzlich zu Ihrem Teilnehmerzertifikat ein digitales Open Badge (Zertifikat) – Ihren modernen Nachweis für erworbene Kompetenzen.
Ihr Open Badge ist jederzeit in Ihrem persönlichen und kostenfreien Mein IT-Schulungen.com-Konto verfügbar. Mit wenigen Klicks können Sie diesen digitalen Nachweis in sozialen Netzwerken teilen, um Ihre Expertise sichtbar zu machen und Ihr berufliches Profil gezielt zu stärken.
Übersicht: AI Certs Schulungen Portfolio
