AI+ Ethics™ - eLearning (exam included)
225,00 EUR
- 15 hours
The AI+ Ethics Certification offers a deep dive into the ethical dimensions of Artificial Intelligence (AI), focusing on its societal impact and responsible use. It covers core issues such as data and algorithmic bias, transparency, and fairness—providing actionable strategies to build more ethical and inclusive AI systems.
Key Features
Language
Course and material in English
Level
Beginner level (Category: AI+ Professional)
Access
1 year access to the platform 24/7
8 hours of video lessons & multimedia
15 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Tools You’ll Master
AI4People, IBM - AI Fairness 360, IBM - AI Explainability 360, European Commission High-Level Expert Group on AI
About the course
Explore the Crossroads of AI and Ethics in Modern Business
- Ethical AI Mastery: Learn to apply AI responsibly in line with organizational and societal principles.
- Compliance & Risk Management: Gain skills to handle transparency, accountability, and regulatory concerns in AI use.
- Ethical Strategy Integration: Embed ethical considerations into AI initiatives and executive decision-making.
- Trust & Credibility: Strengthen your organization’s reputation by championing ethical AI practices.
Through real-world projects and case studies, learners develop the ability to communicate complex AI models clearly to diverse stakeholders. While all AI+ certifications touch on ethics, this program goes further—equipping learners to tackle advanced ethical challenges and understand AI’s broader implications.
The course also addresses privacy, accountability, and the ethical responsibilities of developers. It explores key regulations, including the EU AI Act and GDPR, and introduces global standards like IEEE’s Ethically Aligned Design. Participants will engage with ethical decision-making frameworks from computer science, sociology, and philosophy to guide responsible AI deployment.
Ideal for professionals seeking practical tools and in-depth knowledge to lead ethically in the age of AI.
Why Choose AI Ethics™?
Gain clarity on AI’s ethical and societal implications to support responsible choices.
Learning Outcomes
At the end of this course, you will be able to:
AI Strategy Development
Learn to align AI implementation with business objectives while anticipating potential impacts.
Ethical Judgment in AI
Apply ethical frameworks to manage accountability, reduce risk, and handle complex AI dilemmas.
AI Project Execution
Oversee AI initiatives with emphasis on fairness, security, and transparency throughout the process.
Regulatory & Governance Insight
Build knowledge of legal standards and governance to ensure ethical, compliant AI practices.
Course timeline
Overview of AI Ethics & Societal Impact
Lesson 1
- 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
Bias and Fairness in AI
Lesson 2
- 2.1 Exploration of Biases in Data and Algorithms
- 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
Transparency and Explainable AI
Lesson 3
- 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
Privacy and Security Issues in AI
Lesson 4
- 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.
Accountability and Responsibility
Lesson 5
- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
Legal and Regulatory Issues
Lesson 6
- 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
- 6.2 Understanding the Global Regulatory Issues for AI Technologies
- 6.3 Case Studies: GDPR Compliance
- 6.4 Legal Compliance of AI Tools
Ethical Decision-Making Frameworks
Lesson 7
- 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
- 7.2 Case Studies and Applications of Ethical Decision-Making
- 7.3 Use of Simulation Platforms in Ethical Decision-Making
AI Governance & Best Practices
Lesson 8
- 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
Global AI Ethics Standards
Lesson 9
- 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
AI Agents for Ethics and Its Implications
Optional
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Industry Growth
Advancing AI Ethics and Governance
- The AI ethics sector is expected to grow at a 37.7% CAGR by 2026, driven by the need for responsible AI practices (Source: MarketsandMarkets).
- Organizations worldwide are increasingly seeking experts to lead ethical AI adoption.
- Regulatory focus on AI ethics is intensifying, with new laws emerging to promote responsible use.
- Businesses are building dedicated AI ethics teams to uphold privacy and ethical compliance.
- Career opportunities in AI ethics are expanding across sectors like tech, finance, and healthcare.
Who Should Enroll in this Program?
Ethics Specialists: Deepen your knowledge to support ethical AI implementation.
AI & Data Learners: Apply ethical principles to AI systems and decision-making.
Compliance Professionals: Ensure AI aligns with legal and ethical regulations to reduce risk.
Tech Executives: Lead the development of responsible AI practices in your organization.
More Details
Prerequisites
- Foundational understanding of AI, machine learning, and their practical uses
- Awareness of AI’s social, cultural, and political impact
- Knowledge of professional ethics such as integrity, responsibility, and accountability
- Experience with real-world AI ethics case studies to build applied insight
- Ability to evaluate AI systems and make informed ethical decisions
- Familiarity with laws, regulations, and industry standards related to AI deployment
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
Need corporate solutions or LMS integration?
Didn't find the course or program which would work for your business? Need LMS integration? Write us, we will solve everything!