Responsible Automated Intelligence (AI) Ethics Fundamentals

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29 Videos
1.40 Hours
50 Test Questions

Responsible Automated Intelligence (AI) Ethics Fundamentals

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

1.40 Hours
29 Videos

Responsible Automated Intelligence (AI) Ethics Fundamentals

Course Description

1.40 Hours

29 Videos

Learn Responsible AI Ethics Fundamentals. Master frameworks, privacy, and policy for ethical AI development. Champion responsible AI in your field—enroll today!

Course Modules

  1. Introduction to AI Ethics: Explore ethical principles, frameworks, and challenges in AI.
  2. Responsible AI Development: Address bias, fairness, transparency, and accountability in AI systems.
  3. Privacy and Security with AI: Learn ethical data management and privacy practices for secure AI development.
  4. Social and Ethical Impacts of AI: Examine AI’s societal impacts, including automation, job displacement, and AI for social good.
  5. Policy Development: Build strategies for ethical AI leadership, governance, and adaptation in a changing AI landscape.

Who Should Take This Course?

This course is designed for:

  • AI practitioners and developers aiming to integrate ethics into their workflows.
  • Policymakers and leaders shaping ethical AI governance.
  • Educators, students, and enthusiasts interested in understanding the intersection of AI and ethics.

Key Features

  • Interactive Learning: Engage with whiteboard sessions and real-world examples.
  • Actionable Insights: Learn how to implement ethical frameworks and practices effectively.
  • Flexible Format: Online, on-demand modules tailored to fit your schedule.

Enroll Now

Take the lead in building a future of responsible AI. Enroll in Responsible Automated Intelligence (AI) Ethics Fundamentals and champion ethical AI practices in your field.

Course Highlights

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Step-by-Step Courses List

Chapter One:

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
Chapter Two:

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
Chapter Three:

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
Chapter Four:

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
Chapter Five:

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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Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Related Products

Description

Learn Responsible AI Ethics Fundamentals. Master frameworks, privacy, and policy for ethical AI development. Champion responsible AI in your field—enroll today!

Course Modules

  1. Introduction to AI Ethics: Explore ethical principles, frameworks, and challenges in AI.
  2. Responsible AI Development: Address bias, fairness, transparency, and accountability in AI systems.
  3. Privacy and Security with AI: Learn ethical data management and privacy practices for secure AI development.
  4. Social and Ethical Impacts of AI: Examine AI’s societal impacts, including automation, job displacement, and AI for social good.
  5. Policy Development: Build strategies for ethical AI leadership, governance, and adaptation in a changing AI landscape.

Who Should Take This Course?

This course is designed for:

  • AI practitioners and developers aiming to integrate ethics into their workflows.
  • Policymakers and leaders shaping ethical AI governance.
  • Educators, students, and enthusiasts interested in understanding the intersection of AI and ethics.

Key Features

  • Interactive Learning: Engage with whiteboard sessions and real-world examples.
  • Actionable Insights: Learn how to implement ethical frameworks and practices effectively.
  • Flexible Format: Online, on-demand modules tailored to fit your schedule.

Enroll Now

Take the lead in building a future of responsible AI. Enroll in Responsible Automated Intelligence (AI) Ethics Fundamentals and champion ethical AI practices in your field.

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