ISO 24368 — AI Overview of Ethical and Societal Concerns

LAPT

London Academy of Professional Training

Master Certificate Level 6-7 Leadership ISO IT & Related Technologies

REF: IIT-AII-24368

Subjects

500

Total Marks

65%

Pass Mark

Lifetime

Validity

Who Is It For

This certification is designed for senior professionals, including executives and managers, who are involved in AI strategy and governance. Candidates should have substantial experience in technology management or related fields and require this certification to enhance their understanding of ethical AI implementation.

Prerequisites

None

Awarding Body: LAPT — London Academy of Professional Training

Curriculum Overview

1 Critical Thinking in AI 5 chapters · 150 marks

Understanding Ethical Frameworks in AI

Identifying and Analyzing AI Biases

Implications of Autonomous Decision-Making

Evaluating AI's Impact on Employment and Privacy

Developing Strategies for Responsible AI Leadership

2 Leadership in AI Governance 5 chapters · 30 classes · 50 marks

Fundamentals of AI Ethics and Governance 6 classes

1.1 Define Key Concepts of AI Ethics

1.2 Explore Historical Context of AI Governance

1.3 Identify Ethical Principles in AI Development

1.4 Analyze Case Studies of Ethical AI Use

1.5 Assess Societal Impacts of AI Technologies

1.6 Develop a Framework for Ethical AI Leadership

Identifying Ethical Risks in AI Deployment 6 classes

2.1 Define Ethical Risks in AI Context

2.2 Explore Case Studies of AI Misuse

2.3 Identify Stakeholders in AI Governance

2.4 Assess Impact of Bias in AI Systems

2.5 Develop Strategies for Risk Mitigation

2.6 Create an Ethical AI Deployment Framework

Regulatory Frameworks and Compliance in AI 6 classes

3.1 Outline Key Regulations Impacting AI Governance

3.2 Identify Compliance Challenges in AI Deployment

3.3 Analyze Ethical Considerations in Regulatory Policies

3.4 Evaluate Case Studies on AI Compliance Failures

3.5 Develop Strategies for Effective AI Regulation Adherence

3.6 Present a Compliance Framework for AI Projects

Stakeholder Engagement and Ethical Decision-Making 6 classes

4.1 Identify Key Stakeholders in AI Governance

4.2 Analyze Ethical Implications of AI Decisions

4.3 Develop Effective Communication Strategies with Stakeholders

4.4 Assess Stakeholder Perspectives and Needs

4.5 Create Frameworks for Ethical Decision-Making in AI

4.6 Evaluate Case Studies of Ethical Dilemmas in AI Governance

Future Challenges and Trends in AI Governance 6 classes

5.1 Analyze Emerging Trends in AI Governance

5.2 Examine Ethical Implications of AI Advancements

5.3 Identify Stakeholder Roles in AI Governance

5.4 Evaluate Global Regulatory Approaches to AI

5.5 Develop Strategies for Ethical AI Leadership

5.6 Propose Solutions to Address Future AI Challenges

3 Case Studies in AI Ethics 5 chapters · 30 classes · 50 marks

Understanding Ethical Frameworks in AI 6 classes

1.1 Define Key Ethical Principles in AI

1.2 Analyze Historical Case Studies in AI Ethics

1.3 Identify Stakeholders Affected by AI Decisions

1.4 Evaluate Ethical Frameworks Applied to AI Scenarios

1.5 Discuss Challenges in Implementing Ethical AI Practices

1.6 Propose Solutions for Ethical Dilemmas in AI Development

Historical Context of AI Ethics 6 classes

2.1 Trace the Evolution of AI Ethics through Historical Milestones

2.2 Identify Key Ethical Philosophies Influencing AI Development

2.3 Analyze Landmark AI Ethics Cases from Past Decades

2.4 Discuss Major Societal Concerns Raised by Historical AI Implementations

2.5 Connect Historical Ethical Challenges to Contemporary AI Issues

2.6 Propose Solutions to Address Ethical Issues in Future AI Innovations

Analyzing Contemporary Ethical Issues in AI 6 classes

3.1 Identify Key Ethical Theories in AI

3.2 Explore Real-World Case Studies of AI Ethical Dilemmas

3.3 Evaluate Bias in AI Algorithms: Origins and Impacts

3.4 Assess the Role of Transparency in AI Decision-Making

3.5 Discuss the Implications of AI Surveillance on Society

3.6 Propose Ethical Guidelines for AI Development and Use

Regulatory and Legal Perspectives on AI Ethics 6 classes

4.1 Analyze Current Legal Frameworks Governing AI Ethics

4.2 Evaluate Case Studies on AI Regulations in Practice

4.3 Discuss the Role of Governments in AI Oversight

4.4 Identify Key Ethical Challenges Faced by AI Developers

4.5 Propose Solutions to Gaps in Current AI Regulatory Approaches

4.6 Create a Compliance Checklist for Ethical AI Implementation

Future Challenges and the Role of Leadership in AI Ethics 6 classes

5.1 Identify Future Ethical Challenges in AI Implementation

5.2 Analyze Case Studies of AI Ethical Dilemmas

5.3 Explore Leadership's Role in Shaping AI Ethics

5.4 Develop Strategies for Ethical AI Decision-Making

5.5 Evaluate the Impact of AI on Society and Human Rights

5.6 Create a Leadership Action Plan for Ethical AI Practices

4 Strategic Implementation of Ethical AI 5 chapters · 30 classes · 75 marks

Understanding Ethical AI Principles and Frameworks 6 classes

1.1 Define Key Concepts of Ethical AI

1.2 Explore the Importance of Ethical Principles in AI

1.3 Identify Major Ethical Frameworks in AI Development

1.4 Analyze Case Studies Illustrating Ethical AI Dilemmas

1.5 Assess the Impact of AI on Society and Individuals

1.6 Develop Strategies for Implementing Ethical AI in Organizations

Identifying Ethical Risks in AI Systems 6 classes

2.1 Define Ethical Risks in AI Systems

2.2 Identify Key Ethical Considerations in AI Development

2.3 Explore Case Studies of Ethical AI Failures

2.4 Analyze the Impact of Bias in AI Algorithms

2.5 Evaluate Frameworks for Ethical Risk Assessment in AI

2.6 Develop Strategies for Mitigating Ethical Risks in AI Implementation

Stakeholder Engagement and Inclusive Design in AI 6 classes

3.1 Identify Key Stakeholders in AI Development

3.2 Analyze Stakeholder Expectations and Needs

3.3 Explore Strategies for Engaging Diverse Communities

3.4 Evaluate Inclusive Design Principles in AI Solutions

3.5 Develop Communication Plans for Stakeholder Collaboration

3.6 Implement Feedback Mechanisms for Continuous Improvement

Strategic Governance for Ethical AI Implementation 6 classes

4.1 Identify Key Principles of Ethical AI Governance

4.2 Analyze Case Studies in Ethical AI Implementation

4.3 Assess Risks and Benefits of AI in Strategic Decision-Making

4.4 Develop a Framework for Ethical AI Policies

4.5 Create a Stakeholder Engagement Strategy for AI Ethics

4.6 Evaluate the Impact of Ethical AI Governance on Organizational Culture

Measuring and Evaluating the Impact of Ethical AI 6 classes

5.1 Define Key Metrics for Evaluating Ethical AI Impact

5.2 Analyze Case Studies of Ethical AI Implementation

5.3 Develop Evaluation Frameworks for Ethical AI Projects

5.4 Conduct Stakeholder Assessments on AI Ethics

5.5 Measure Long-term Societal Effects of Ethical AI

5.6 Present Findings and Recommendations for Ethical AI Strategies

5 Regulatory Frameworks 5 chapters · 30 classes · 75 marks

Introduction to Regulatory Frameworks in AI 6 classes

1.1 Define the Concept of Regulatory Frameworks in AI

1.2 Identify Key Components of AI Regulatory Frameworks

1.3 Analyze Regional Variations in AI Regulations

1.4 Evaluate the Role of Stakeholders in AI Governance

1.5 Discuss Ethical Considerations in AI Regulation

1.6 Propose Best Practices for Compliance with AI Regulations

Global Regulatory Landscape for AI Technologies 6 classes

2.1 Explore the Fundamentals of AI Regulation

2.2 Identify Key Global Regulatory Bodies for AI

2.3 Analyze the Impact of Data Privacy Laws on AI Development

2.4 Examine Ethical Guidelines Affecting AI Technologies

2.5 Assess Compliance Challenges in International AI Regulations

2.6 Develop a Strategic Approach to Navigating AI Regulations

Ethical Principles Guiding AI Regulation 6 classes

3.1 Identify Key Ethical Principles in AI Regulation

3.2 Analyze the Impact of AI on Societal Values

3.3 Examine Case Studies of Ethical AI Implementation

3.4 Discuss Stakeholder Perspectives in AI Governance

3.5 Develop Guidelines for Ethical AI Development

3.6 Create a Strategy for Promoting Ethical AI Practices

National Regulatory Approaches to AI Compliance 6 classes

4.1 Compare National Approaches to AI Regulation

4.2 Identify Key Ethical Principles in AI Compliance

4.3 Analyze Case Studies of AI Regulation Across Countries

4.4 Evaluate the Impact of Compliance Frameworks on AI Development

4.5 Discuss Stakeholder Roles in National AI Regulatory Landscapes

4.6 Propose a National AI Compliance Strategy Based on Best Practices

Future Directions and Challenges in AI Regulation 6 classes

5.1 Analyze the Evolution of AI Regulatory Frameworks

5.2 Identify Key Ethical Concerns in AI Development

5.3 Explore the Role of International Standards in AI Regulation

5.4 Assess Challenges in Implementing AI Regulations

5.5 Develop Strategies for Responsive AI Governance

5.6 Evaluate Future Trends Impacting AI Regulatory Practices

6 Ethical Challenges in AI 5 chapters · 30 classes · 100 marks

Understanding AI and Its Societal Impact 6 classes

1.1 Define AI and its Core Concepts

1.2 Explore the Historical Development of AI Technologies

1.3 Analyze the Benefits of AI in Various Sectors

1.4 Identify Key Ethical Challenges Associated with AI

1.5 Examine the Societal Impacts of AI Implementation

1.6 Develop Strategies for Ethical AI Leadership and Governance

Identifying Ethical Issues in AI Development 6 classes

2.1 Define and Discuss Ethical Issues in AI Development

2.2 Analyze Real-World Examples of Ethical Dilemmas in AI

2.3 Identify Stakeholders and Their Perspectives on AI Ethics

2.4 Evaluate the Impact of Bias in AI Systems

2.5 Investigate Regulatory Frameworks Addressing AI Ethics

2.6 Propose Solutions to Enhance Ethical AI Development

Regulatory Frameworks and Standards in AI Ethics 6 classes

3.1 Explore International Regulatory Frameworks for AI Ethics

3.2 Discuss Key Standards Impacting AI Development

3.3 Analyze Case Studies of AI Ethical Dilemmas

3.4 Identify Stakeholders in AI Regulation and Their Roles

3.5 Evaluate the Effectiveness of Current AI Regulations

3.6 Propose Recommendations for Improving AI Ethical Standards

Mitigating Ethical Risks in AI Applications 6 classes

4.1 Identify Ethical Risks in AI Development

4.2 Analyze Case Studies of Ethical Failures in AI

4.3 Explore Frameworks for Ethical AI Design

4.4 Develop Strategies for Transparency in AI Systems

4.5 Implement Guidelines for Inclusive AI Practices

4.6 Evaluate the Impact of Ethical AI on Society

Future Perspectives: Ethics in Evolving AI Technologies 6 classes

5.1 Analyze the Impact of AI on Privacy and Data Security

5.2 Evaluate Ethical Frameworks for AI Decision-Making

5.3 Explore Bias and Fairness in AI Systems

5.4 Discuss the Role of Transparency in AI Technologies

5.5 Investigate Accountability and Responsibility in AI Use

5.6 Propose Solutions for Ethical AI Development and Implementation

Assessment Breakdown

50%

Theory

35%

Practical

15%

Project

Passing Mark: 325 / 500 (65%)

Methods: Written Examination, Practical Assignment, Portfolio Assessment

How to Enrol

Website: lapt.org

Email: info@lapt.org

Phone: +44 7513 283044

Address: 85 Great Portland Street, W1W 7LT, United Kingdom

Hours: Monday – Friday, 9AM – 5PM

📩 Send Enquiry