Responsible Automated Intelligence (AI) Ethics Fundamentals

Course Level: Beginner
Duration: 1 Hr 40 Min
Total Videos: 29 On-demand Videos

"Responsible Automated Intelligence (AI) Ethics Fundamentals" is a comprehensive course that explores the ethical considerations of AI, providing professionals, policymakers, and enthusiasts with the knowledge to ensure AI systems are developed and governed responsibly. The course covers key topics like mitigating bias, enhancing transparency, privacy considerations, and the societal impacts of AI, making it ideal for AI practitioners, developers, leaders, and those interested in the intersection of AI and ethics.

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Learning Objectives

01

Understand the basic principles and ethical frameworks pertaining to Artificial Intelligence (AI).

02

Identify the ethical challenges in AI and learn about responsible AI development.

03

Gain insights into the concept of bias, fairness, transparency, accountability, and governance in AI.

04

Understand the importance of privacy and security in AI, including data collection and usage.

05

Learn to identify risks with AI and devise effective mitigation strategies for ethical data management.

06

Explore the social and ethical impacts of AI, including automation and job displacement.

07

Understand how AI can contribute to social good and experience real-world examples through demonstrations.

08

Learn about policy development and leadership culture for ethical AI, and adapt to the changing AI landscape.

Course Description

Upgrade your understanding of the ethical dimensions of artificial intelligence with our course: Responsible Automated Intelligence (AI) Ethics Fundamentals. This comprehensive program is specifically designed for professionals, policymakers, and AI enthusiasts who are keen on ensuring the rightful development, deployment, and governance of AI systems. Gain a deep understanding of AI ethics, explore the foundations and principles that guide ethical AI practices, and learn how to mitigate bias, enhance transparency, and ensure accountability in AI systems. We also delve into the crucial aspects of privacy and security in AI, ethical data management, and risk mitigation strategies.

Our curriculum is not just about theory; we offer hands-on demonstrations of ethical AI tools and technologies like ChatGPT and Microsoft Responsible AI. The course is divided into five modules: Introduction to AI Ethics, Responsible AI Development, Privacy and Security with AI, Social and Ethical Impacts of AI, and Policy Development. Each module is designed to provide a holistic understanding of its subject, with insights from professionals who specialize in AI ethics and governance. This course is perfect for AI practitioners and developers, policymakers and leaders, educators, students, and AI enthusiasts who want to better understand the intersection of AI and ethics.

Enroll in the Responsible Automated Intelligence (AI) Ethics Fundamentals course and be at the forefront of creating a future of responsible AI. The course is delivered in a flexible online format, allowing you to learn at your own pace. With our interactive and engaging learning methods, you will gain actionable insights on how to implement ethical frameworks and practices effectively in your respective fields. Join us in this journey of championing ethical AI practices and ensure a fair and secure AI-driven future.

Who Benefits From This Course

  • Professionals working in AI development and deployment
  • Policy makers involved in regulating AI technology
  • Researchers and scholars keen on studying ethical frameworks in AI
  • Business leaders interested in integrating AI in their operations responsibly
  • Data scientists looking to understand the ethical considerations in their work
  • Privacy and security professionals seeking to understand AI-related risks and mitigation strategies
  • Individuals interested in the societal impacts of AI and technology

Frequently Asked Questions

What is AI ethics?
AI ethics is the study and implementation of principles and guidelines that ensure artificial intelligence systems are developed and used responsibly, promoting fairness, transparency, accountability, and social good.
Why is AI ethics important?
AI ethics is vital to prevent harm, bias, and unfair practices in AI systems. It ensures accountability, protects user privacy, and promotes trust in AI technologies while fostering their positive social impact.
What are the main principles of AI ethics?
The main principles include fairness, transparency, accountability, privacy, security, and promoting social good. These principles guide the ethical design, deployment, and governance of AI systems.
How can bias in AI be mitigated?
Bias in AI can be mitigated through diverse and representative datasets, transparent algorithms, regular audits, and implementing fairness-focused design practices during development and deployment.
What is responsible AI development?
Responsible AI development refers to creating AI systems that align with ethical principles, such as ensuring fairness, accountability, transparency, and minimizing risks like bias or misuse while promoting societal benefits.

Included In This Course

Introduction - Responsible Automated Intelligence Ethics

  •    Course Welcome
  •    Instructor Introduction

Module 1: Introduction to AI Ethics

  •    1.1 Introduction to AI Ethics
  •    1.2 Understanding AI Ethics
  •    1.3 Ethical Frameworks and Principles in AI
  •    1.4 Ethical Challenges
  •    1.5 Whiteboard - Key Principles of Responsible AI

Module 2: Responsible AI Development

  •    2.1 Responsible AI Development - Introduction
  •    2.2 Responsible AI Development - Continued
  •    2.3 Bias and Fairness in AI
  •    2.4 Transparency in AI
  •    2.5 Demonstration - Microsoft Responsible AI
  •    2.6 Accountability and Governance in AI

Module 3: Privacy and Security with AI

  •    3.1 Privacy and Security in AI
  •    3.2 Data Collection and Usage
  •    3.3 Risks and Mitigation Strategies
  •    3.4 Ethical Data Management in AI
  •    3.5 Demonstration - Examples of Privacy EUL

Module 4: Social and Ethical Impacts of AI

  •    4.1 Social and Ethical Impacts of AI
  •    4.2 Automation and Job Displacement
  •    4.3 AI and Social Good
  •    4.4 Demonstration - ChatGPT
  •    4.5 Demonstration - Bard

Module 5: Policy Development

  •    5.1 Policy Development
  •    5.2 Ethical AI Leadership Culture
  •    5.3 Ethical AI Policy Elements
  •    5.4 Ethical AI in a Changing Landscape
  •    5.5 Course Review
  •    5.6 Course Closeout

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