AI+ Ethics™
AC-120
Navigate the Intersection of AI and Ethics in Business LandscapeMaster the principles of AI ethics with our all-in-one course + exam bundle. Gain expertise in responsible AI use, ethical considerations, and real-world case applications.
Certification Duration: 8 hours (1 Day)
Enroll Now Buy Instructor-Led Course
Why AI Ethics™? 10X AI Governance & Compliance Impact
The AI+ Ethics™ Certification equips you with the essential knowledge and skills to ethically navigate the complexities of artificial intelligence. This comprehensive certification consisting of nine detailed modules prepares you to uphold ethical standards and ensure the well-being of your organisation while leveraging emerging AI technologies.
In-Depth Ethical Understanding
Understand ethical considerations and social impacts of AI for responsible decision-making.
Bias Mitigation and Fairness
Learn strategies to identify and prevent biases in AI systems, ensuring fairness and transparency.
Privacy and Security Assurance
Explore strategies to safeguard privacy and secure AI systems and data.
Legal and Regulatory Compliance
Understand global AI regulations to ensure compliance with legal and ethical standards.
Prerequisites
- Basic knowledge of artificial intelligence, machine learning concepts, and their applications.
- Understanding of the social, cultural, and political implications of AI technologies.
- Understanding of professional ethics, including honesty, integrity, and responsibility.
- Exposure to real-world case studies that highlight ethical dilemmas in AI, promoting practical understanding.
- Ability to critically assess AI technologies and make ethical decisions in designing, deploying, and managing AI systems.
- Familiarity with relevant laws, regulations, and industry standards that govern AI usage.
Modules
9
Examination
1
50 MCQs
90 Minutes
Passing Score
70% (35/50)
Certification Modules
- Understand the core concepts of AI ethics and their societal implications.
- Why it matters: Provides a foundation for understanding how AI impacts society and shapes ethical decision-making.
- Explore the challenges of bias in AI systems and how to address fairness.
- Why it matters: Ensures AI systems are built and deployed responsibly to avoid discrimination and ensure equity.
- Learn the principles of making AI models transparent and explainable.
- Why it matters: Promotes trust in AI by ensuring that decisions made by AI systems are understandable and justifiable.
- Understand privacy concerns and security risks in AI systems, including data protection.
- Why it matters: Ensures that AI technologies respect user privacy and comply with security standards.
- Study frameworks for holding organizations accountable for the ethical use of AI.
- Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
- Explore the legal landscape surrounding AI, including compliance with regulations and laws.
- Why it matters: Prepares professionals to navigate the complex legal framework surrounding AI and ensure regulatory compliance.
- Learn methodologies for making ethical decisions when implementing AI technologies.
- Why it matters: professionals ensure AI solutions are developed and used in ways that align with ethical principles.
- Understand the key principles of AI governance and industry best practices for ethical AI development.
- Why it matters: Provides the knowledge needed to establish strong governance frameworks for AI systems within organizations.
- Study international standards and guidelines for AI ethics to ensure global compliance.
- Why it matters: Prepares you to manage AI projects that meet global ethical standards, promoting responsible AI usage worldwide.
Tools
AI4People (Atomium - European Institute for Science, Media, and Democracy)
IBM - AI Fairness 360
IBM - AI Explainability 360
European Commission High-Level Expert Group on AI
Exam Objectives
Strategic Thinking
Learners will examine AI technologies and their commercial consequences, which involves planning strategically and make AI integration decisions for their organizations.
Ethical-Decision Making Skills
Students will learn to navigate AI's complex ethical issues by identifying ethical concerns, applying ethical decision-making frameworks, and ensuring accountability in AI initiatives.
Project Management
Participants will learn to develop, implement, and monitor AI initiatives while addressing bias, fairness, transparency, privacy, and security.
Compliance and Governance Norms and Practices
Students will learn about AI law and regulation, focusing on ensuring AI systems comply with legal requirements and applying governance best practices to mitigate risks, maintain transparency, and uphold accountability.
Career Opportunities Post-Certification
Median Salaries
$52,223
With AI Skills
$1,22,336
% Difference
134
Ethics Advisor
Advise on AI development and deployment ethical issues. Ensure justice, openness, and accountability in AI technology, supporting responsible innovation.
Policy Developer
Formulate and implement ethical and regulatory frameworks for AI adoption and governance to ensure responsible and equitable deployment.
Ethical Standards Advisor
Provide guidance on ethical considerations in AI development and deployment, ensuring adherence to ethical principles and societal values.
Audit Architect
Design and implement systems for ethical compliance and accountability in AI applications, conducting audits to detect and mitigate ethical risks.
AI Ethics Career Advancement – 10X Your Growth
Market Demand for AI Ethics & Governance Professionals
- 85% of enterprises recognize AI ethics as a key priority, creating a huge demand for ethical AI experts.
- AI-driven decision-making is under global scrutiny, increasing the need for AI compliance and risk assessment professionals.
- High-Growth Areas for AI Ethics Experts:
- AI Fairness & Bias Mitigation – Ensuring non-discriminatory and unbiased AI algorithms.
- AI Risk & Compliance Management – Addressing ethical risks in AI deployment.
- AI Governance & Policy Implementation – Developing AI regulations and corporate AI governance policies.
- Responsible AI & Human-Centered AI – Promoting ethical AI practices and sustainable AI development.
- Demand-Supply Gap: AI ethics is an emerging field, creating high-demand roles with competitive salaries for AI compliance professionals.
- AI Fairness & Bias Mitigation – Ensuring non-discriminatory and unbiased AI algorithms.
- AI Risk & Compliance Management – Addressing ethical risks in AI deployment.
- AI Governance & Policy Implementation – Developing AI regulations and corporate AI governance policies.
- Responsible AI & Human-Centered AI – Promoting ethical AI practices and sustainable AI development.
Smart Solutions for AI- Powered Credentials
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AI & Blockchain Experts
Profiles and Credentials
Chris Golden
Abdullah ElShandawily
James (Jim) Hollis
Gilbert M
Vikas Verma
Phillip Govinda
Sravanthi Nattuva
Gethyn Ellis
Bob Weiss
Tom Goodheart
Mark Cates
Cynthia Wade
Dwayne Natwick
Soumik Das
Marcello Ferri
Robert Hales
Ruchi Gupta
Ugo Lopez
stefano tempesta
Trusted LinkedIn Reviews Posted by Our Learners
Kanwaljeet Kaur
Passionate CSM Leader Focused on Customer Success, Growth, and Impact | Driving Strategic Partnerships and Delivering Exceptional ValueAdding another one to my Kitty of continuous learning. NetCom Learning hashtag#AICERTs hashtag#AIEthics
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Monjit Kemprai
Product Analyst | Product Development and Enhancement | Data Analysis and Interpretation |Market Research | Competitor Analysis | Cross-functional |🚀 Excited to Announce!🎉 I’m thrilled to announce that I've completed the AI+ Ethics™ certification! This program deepened my understanding of ethical AI practices, responsible AI development, and the importance of fairness, transparency, and accountability in AI solutions.
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Santosh Singh
Senior IT Infrastructure Manager at NETCOM LEARNING INDIA PRIVATE LIMITED.I am officially AI+ Everyone™ Certified! Equipped to lead in the era of innovation and technology!
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Rammohan Thirupasur
Freelance Sr. Trainer - Coach - Advisor | Gen AI Security - ICS/OT Security - AI GRC - DORA - Sovereign AI - Oracle Cloud Infrastructure (OCI) - AI Product Management - Design Thinking - Leadership - Keynote Speaker"AI Ethics Certified I started this Monday morning with a burst of productivity, using the early hours to crack my AI Ethics certification. This is the second certification , back-to-back I've earned in the last 2 days. I'm thrilled to have achieved a score of 90% or higher on both. In fact , today's AI Ethics exam , I knocked-off in 23 min straight , out of the allotted 1 hr. 30 min. Don't let my score fool you. The exam wasn't a walk in the park. Some questions were lengthy & quite challenging. Some were borderline tricky. AI Ethics , AI Explainability , AI Transparency , AI Trustworthiness , Fairness - they all sound same & I see many people using these terms interchangeably. In reality , it's not so . There is a subtle difference and that is what the exam tests as well. The combination of my in-depth study of AI ethics, my experience creating original training materials, delivering trainings & my other certifications likely played a significant role in my ability to pass the exam in a jiffy. What is more satisfying is that this exam is proctored & monitored . That gives a sense of achievement. "
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Get CertifiedFrequently Asked Questions
Organizations increasingly recognize the importance of ethical considerations in AI to mitigate risks, ensure fair decision-making, and maintain a positive brand image.
This certification is ideal for business leaders, AI developers, and ethics professionals in both business and government sectors. It is particularly beneficial for those looking to enhance their understanding of ethical AI practices and make informed decisions in AI deployment.
Obtaining the AI+ Ethics™ certification demonstrates a commitment to ethical AI practices, enhancing personal credibility and professional development. It equips individuals with the skills needed to navigate complex ethical aspects of AI, promoting responsible innovation and building public trust in AI technologies.
Professionals with this certification are recognized for their expertise in ethical AI practices, making them valuable assets to organizations and potentially leading to career growth opportunities.
Organizations with certified employees can better navigate the complexities of AI implementation, ensuring ethical practices are followed, which can protect and enhance their reputation and operational integrity.
