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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.
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The AI+ Ethics Certification Program equips you with the essential knowledge and skills to ethically navigate the complexities of artificial intelligence. This comprehensive program, 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
- Having a basic grasp of ethical principles and moral reasoning.
- Being interested in how AI impacts society and daily life, and being open to change.
- Willing to understand AI ethical frameworks and guidelines. Please let me know if this approach to language and tone works.
Modules
9
Examination
1
50 MCQs
90 Minutes
Passing Score
70%
Certification Modules
- 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
- 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
- 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
- 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
- 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
- 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
What Will You Learn?
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 understand the to negotiate AI's complex ethical issues. This includes identifying ethical issues, use ethical decision-making frameworks, and hold AI initiatives accountable.
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, which involves ensuring AI systems comply with laws and regulations and use governance best practices to reduce risks and preserve transparency and accountability.
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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