Ethics of Artificial Intelligence (AI) Course For Beginners

Introduction

The Ethics of Artificial Intelligence (AI) course aims to equip the students with some practical skills and a comprehensive understanding of the ethical and responsible use of AI. This course prepares the students for the real world, helping them know about all the issues that can arise because of bad AI practices. Through this course, students will get to know more about some important requirements for ethical AI leadership and notable elements in ethical AI policy. This training program course also helps in understanding the evolution of ethical AI in the consistently changing AI landscape.

What Will You Gain From This Course?

Following the completion of this course, the students will:

1. Know more about bias, transparency, accountability, governance, privacy, and security concerns in AI.
2. Get familiar with the important considerations and future directions for policy and regulations regarding ethical AI.
3. Learn about the fundamentals of AI Ethics, ethical frameworks, and the challenges and principles of responsible AI.
4. Know about responsible AI use and development without any bias, fairness, transparency, accountability, and governance in AI.
5. Develop a better understanding of ethical data management in AI, its use, importance, and practical use.
6. Know more about responsible data collection, usage, risks, and mitigation strategies.
7. Explore the social and ethical implications of AI in automation and job displacements.
8. Learn about the leadership for ethical AI and crucial elements for ethical AI policy development.

Skills Acquired:

1. AI Ethics
2. Ethical Frameworks
3. Privacy and Data Protection
4. Accountability and Transparency
5. Risk Assessment
6. AI Governance

Who Can Benefit From This Course?

This course is designed for:

1. Tech workers, such as AI developers and researchers, looking for ways to gain an in-depth understanding of ethical considerations in AI development.
2. AI tech experts seeking ways to stay updated about responsible AI practices as per industry standards
3. AI users and implementers trying to explore ways to deploy AI systems ethically without any mitigating potential risks.
4. Policymakers and Regulators working in the field of AI and tech are trying to help authorities develop effective policies.
5. Tech policy experts working in a private capacity assist companies and develop policies and regulations for governing AI and protecting societal interests.
6. Business owners and industry leaders helping companies Integrate ethical AI into business strategies
7. Business consultants helping tech solution companies mitigate potential legal and reputational risks.
8. AI enthusiasts willing to explore more about the ethical dimensions of AI and its contribution to responsible AI development.

Course Content

5 Modules – Certificate of Completion

Welcome to the Course

The first section of this course is not an actual module; instead, it is an overview section. This section helps the student learn more about the course, its aim, the content included in the course, the instructors' introductions, and a message from the instructor. This section wraps up with a disclaimer and a downloadable course presentation for a better understanding of the course.

Bonus Materials

The second section of this course consists of some bonus material related to AI and its use in real life. This section starts with a resource overview and includes a small eBook related to the Ethics of AI in practice.

Introduction to AI Ethics

The third section, officially the first module of this course, offers an introduction to AI ethics. The module starts with an overview and then gets into some basic details about AI Ethics so the students can get to know more about why ethics in AI are important and what can happen if these ethics are not practiced. As the module progresses, it also covers ethical frameworks, principles in AI, core concepts, ethical challenges, and some key principles of responsible AI use.

Responsible AI Development

This module of the course sheds light on some responsible AI developments that can be helpful. The module starts with just an overview but then dwells deeper into responsible AI development and discusses bias and fairness in AI. Within this module, the students will also get to know more about transparency, accountability, and governance in AI. For practical understanding, there is a demo exploring Microsoft Responsible AI and some interactive exercises for hands-on practice as well

Privacy and Security in AI

This module mainly discusses privacy and security principles and their uses within AI. The module starts with an overview of all the concepts and content included. After the overview, the students will learn about data collection, different practices of data collection, and its usage. The students will also get to explore some risk factors, mitigation strategies in practice, and ethical data management practices in AI. By the end of this module, there is a demo section focusing on examples of privacy EUL, followed by an interactive exercise section for hands-on learning.

Social and Ethical Impact of AI

This module covers the social and ethical impact of AI. Similar to other modules, this module also starts with an overview that consists of a basic introduction of everything that the students will get to learn within this module. The module then explores some important topics like automation, job displacement because of AI, and social good as an impact of AI. This module contains two demo sections that mainly help the learner get to know about the use of ChatGPT and Bard. There is also an interactive exercise section so the students can gain some hands-on experience with AI.

Policy Devolvement

This module is all about policy development so the students can get to know about some of the important rules rolled out by law enforcement agencies so far. The module starts with an overview and then explores some important topics like ethical AI leadership culture, ethical AI policy elements, and ethical AI in a changing landscape. For the hands-on practice, this module also includes interactive exercises.

Summary and Final Exam

This section marks the end of the course, as it offers a recap of the whole course along with the final exam.

Description

The Ethics of Artificial Intelligence (AI) course is an in-depth training program that contains reading material, video lectures, demos, and practice assignments. The course aims to help the students get familiar with ethical considerations surrounding AI development and its use in real life.

The course consists of a total of eight sections; however, the first two and the last sections are complementary. The first two sections offer an overview of the course and content that will help understand the course. The next five modules mainly cover the core concepts that can fortify the understanding of AI ethics, its use, and ways to apply these rules. Finally, the last section consists of an exam that can help in earning the certificate.

With a perfect combination of theoretical concepts and practical case studies, the students will get to explore fundamental AI ethics principles, ethical frameworks, and best practices used for responsible AI development.

Meet the Instructor

101 Blockchains

101 Blockchains is an online learning platform that offers a skill base and practical learning experience for everyone. The platform aims to make education accessible to all, regardless of their educational background, skill set, and educational background. The goal of 101 Blockchain is to empower users, learners, students, and professionals to know more and embrace the transformative potential of blockchain. Students can get a wide range of courses, tutorials, and resources that can be very helpful in understanding more about the fundamentals of cryptocurrency, its development, and industry standards.