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AI+ Ethics™

AC-120

Navigate the Intersection of AI and Ethics in Business Landscape

The 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.

Certification Duration: 8 hours (1 Day)

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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

  1. Course Introduction Preview
  1. 1.1 Introduction to Ethical Considerations in AI Preview
  2. 1.2 Understanding The Societal Impact of AI Technologies
  3. 1.3 Strategies for Conducting Social and Ethical Impact Assessments
  1. 2.1 Exploration of Biases in Data and Algorithms
  2. 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
  1. 3.1 Importance of Transparent AI Systems Preview
  2. 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
  3. 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
  1. 4.1 Examination of Privacy Concerns Related to AI
  2. 4.2 Strategies for Ensuring the Security of AI Systems and Data  Preview
  1. 5.1 Concepts of Accountability in AI Development and Deployment
  2. 5.2 Responsibilities of AI Practitioners and Organizations
  1. 6.1 Overview of Relevant Laws and Regulations Pertaining to AI Preview
  2. 6.2 Understanding the Global Regulatory Issues for AI Technologies
  3. 6.3 Case Studies: GDPR Compliance
  4. 6.4 Legal Compliance of AI Tools
  1. 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
  2. 7.2 Case Studies and Applications of Ethical Decision-Making
  3. 7.3 Use of Simulation Platforms in Ethical Decision-Making
  1. 8.1 Principles and Functions of International AI Governance
  2. 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
  3. 8.3 Case Studies on AI Governance
  1. 9.1 Explore Standards like IEEE’s Ethically Aligned Design
  2. 9.2 Comparative Case Studies on Standard Implementations
  3. 9.3 Tools for Evaluating AI Systems Against Global Standards

Certification Modules

  1. Course Introduction Preview
  1. 1.1 Introduction to Ethical Considerations in AI Preview
  2. 1.2 Understanding The Societal Impact of AI Technologies
  3. 1.3 Strategies for Conducting Social and Ethical Impact Assessments
  1. 2.1 Exploration of Biases in Data and Algorithms
  2. 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
  1. 3.1 Importance of Transparent AI Systems Preview
  2. 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
  3. 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
  1. 4.1 Examination of Privacy Concerns Related to AI
  2. 4.2 Strategies for Ensuring the Security of AI Systems and Data  Preview
  1. 5.1 Concepts of Accountability in AI Development and Deployment
  2. 5.2 Responsibilities of AI Practitioners and Organizations
  1. 6.1 Overview of Relevant Laws and Regulations Pertaining to AI Preview
  2. 6.2 Understanding the Global Regulatory Issues for AI Technologies
  3. 6.3 Case Studies: GDPR Compliance
  4. 6.4 Legal Compliance of AI Tools
  1. 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
  2. 7.2 Case Studies and Applications of Ethical Decision-Making
  3. 7.3 Use of Simulation Platforms in Ethical Decision-Making
  1. 8.1 Principles and Functions of International AI Governance
  2. 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
  3. 8.3 Case Studies on AI Governance
  1. 9.1 Explore Standards like IEEE’s Ethically Aligned Design
  2. 9.2 Comparative Case Studies on Standard Implementations
  3. 9.3 Tools for Evaluating AI Systems Against Global Standards

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

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Strategic Thinking

Learners will examine AI technologies and their commercial consequences, which involves planning strategically and make AI integration decisions for their organizations.

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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.

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Project Management

Participants will learn to develop, implement, and monitor AI initiatives while addressing bias, fairness, transparency, privacy, and security.

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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

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Median Salaries

$52,223
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With AI Skills

$1,22,336
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% Difference

134
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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.

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Policy Developer

Formulate and implement ethical and regulatory frameworks for AI adoption and governance to ensure responsible and equitable deployment.

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Ethical Standards Advisor

Provide guidance on ethical considerations in AI development and deployment, ensuring adherence to ethical principles and societal values.

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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

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

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Frequently 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.

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