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AI+ Ethics™
AC-120
Navigate the Intersection of AI and Ethics in Business LandscapeThe AI+ Ethics Certification is an industry-oriented program enabling professionals to distinguish themselves in ethically utilizing emerging AI technologies. Business and government organizations actively seek ethics professionals to mitigate risks and guide decision-making in AI application design. The brand's values and financial impacts resulting from ethical violations can significantly affect an organization's image. Ethical leaders play a crucial role in implementing strategies to promote fairness, minimize risks, and uphold ethical standards, ensuring the overall well-being of their organizations.
Enroll Now Download Executive Summary
Key Benefits
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%
Certification Modules
- Course Introduction Preview
- 1.1 Introduction to Ethical Considerations in AI Preview
- 1.2 Understanding The Societal Impact of AI Technologies
- 1.3 Strategies for Conducting Social and Ethical Impact Assessments
- 2.1 Exploration of Biases in Data and Algorithms
- 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
- 3.1 Importance of Transparent AI Systems Preview
- 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
- 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
- 4.1 Examination of Privacy Concerns Related to AI
- 4.2 Strategies for Ensuring the Security of AI Systems and Data Preview
- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
- 6.1 Overview of Relevant Laws and Regulations Pertaining to AI Preview
- 6.2 Understanding the Global Regulatory Issues for AI Technologies
- 6.3 Case Studies: GDPR Compliance
- 6.4 Legal Compliance of AI Tools
- 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
- 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
- 9.1 Explore Standards like IEEE’s Ethically Aligned Design
- 9.2 Comparative Case Studies on Standard Implementations
- 9.3 Tools for Evaluating AI Systems Against Global Standards
Certification Modules
- Course Introduction Preview
- 1.1 Introduction to Ethical Considerations in AI Preview
- 1.2 Understanding The Societal Impact of AI Technologies
- 1.3 Strategies for Conducting Social and Ethical Impact Assessments
- 2.1 Exploration of Biases in Data and Algorithms
- 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
- 3.1 Importance of Transparent AI Systems Preview
- 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
- 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
- 4.1 Examination of Privacy Concerns Related to AI
- 4.2 Strategies for Ensuring the Security of AI Systems and Data Preview
- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
- 6.1 Overview of Relevant Laws and Regulations Pertaining to AI Preview
- 6.2 Understanding the Global Regulatory Issues for AI Technologies
- 6.3 Case Studies: GDPR Compliance
- 6.4 Legal Compliance of AI Tools
- 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
- 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
- 9.1 Explore Standards like IEEE’s Ethically Aligned Design
- 9.2 Comparative Case Studies on Standard Implementations
- 9.3 Tools for Evaluating AI Systems Against Global Standards
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
Advises on AI development and deployment ethical issues. Their expertise ensures justice, openness, and accountability in AI technology, supporting trust and 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 & Blockchain Experts
Profiles and Credentials
Chris Golden
Abdullah ElShandawily
jocelyn 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
Hear it from the Learners
Marc H
Happy to share I've completed the AI+ Executive Certification from AI CERTs! This program has sharpened my skills in strategic AI application + implementation, further equipping me to lead AI-driven organizational transformation.
Georgia L
As VP Operations, my recent completion of the AI+ Executive exam through AI CERTs was a pivotal step in advancing my AI skill set as we embrace an AI-driven future. This certification not only deepened my understanding of AI's broad impact across various divisions but also equipped me with the tools to make informed, strategic decisions.
Antonio C
AI+ Executive™ Instructor Guide Certificate. Today, I am part of the team of #CompuEducación instructors to teach the #AI CERTs AI+Executive certification course . This 8-hour course is a new standard for business leaders who want to start a solid path in the adoption of AI for the transformation of their companies. The technological, business, ethical, legal and strategy foundations are covered. The examples of using “AI” are practical, up-to-date, and touch on the different variants of “AI.”
Doug F
Excited to successfully complete AI Cert's AI+ Marketing certification course! For us marketers, it's imperative to embrace AI and take an active effort in learning how to harness its capabilities to stay relevant and be on the cutting edge of tech.
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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.
