AI+ Ethics™ - eLearning (exam included)
AI+ Ethics™ - eLearning (exam included)
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.
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 add…

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AI+ Ethics™ - eLearning (exam included)
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.
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.
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.
Why Choose AI Ethics™? Amplify Governance & Compliance by 10X
- Comprehensive Ethical Insight: Gain clarity on AI’s ethical and societal implications to support responsible choices.
- Ensuring Fairness & Reducing Bias: Discover methods to detect and address bias in AI for more equitable and transparent outcomes.
- Data Protection & Security: Learn how to uphold privacy and protect data within AI systems.
- Global Legal Awareness: Stay aligned with international AI laws and regulations to maintain ethical and legal integrity.
Industry Outlook: 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.
Key Features
- Course and material in English
- Beginner level (Category: AI+ Professional)
- 1 year access to the platform 24/7
- 8 hours of video lessons & multimedia resources
- 15 hours of study time recommendation
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- 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
Learning Outcomes
- 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.
Target Audience
- 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.
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
Course Content
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 the 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 of Ethical Decision-Making
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
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.
FAQ
Why is demand for AI ethics professionals
increasing?
As AI adoption grows, organizations need
experts to ensure fair, transparent, and risk-aware implementation,
helping protect their reputation and public trust.
Who is the AI+ Ethics™ Certification for?
Ideal
for business leaders, developers, and ethics professionals in both
private and public sectors aiming to strengthen their knowledge of
responsible AI practices.
How does this certification benefit my
career?
It showcases your expertise in ethical AI,
enhances your professional credibility, and equips you to handle
complex ethical challenges in real-world AI applications.
How does it support career growth?
Certified
professionals are valued for their ability to lead ethical AI
initiatives—often opening doors to leadership roles and
advancement.
What’s the value for organizations?
Certified
team members help ensure ethical AI deployment, reducing risk and
improving compliance, which strengthens brand trust and
integrity.
How Can AVC Help Foster an AI-Ready
Culture?
While AI offers significant advantages, many
organizations struggle with challenges like talent gaps, complex
data environments, and system integration barriers. At AVC, we
understand these obstacles and have tailored our certification
programs to help businesses overcome them effectively.
Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.
Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.
Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
