ChatGPT / AI Ethics: Ethical Intelligence in an AI World

Welcome to "ChatGPT / AI Ethics: Ethical Intelligence in an AI World ... Making Ethical Decisions in the Age of Intelligent Machines."

This course, led by instructors Dr. Bruce Weinstein and Jess Todtfel, provides an overview of the key ethical principles and issues involved in AI development, deployment, and use.

As we enter the age of intelligent machines, it's crucial to stay ahead of the curve when it comes to navigating the complex ethical considerations involved in AI. In this course, you'll learn how to use new AI tools, including ChatGPT, ethically, and how to make informed ethical decisions in the rapidly evolving field of AI. Dr. Weinstein and Mr. Todtfeld are experts in the fields of ethics and communication and bring a wealth of knowledge and practical insights to this course.

This course will grow over time. Please add your questions and comments in the Q&A.

Learn the genesis of the principles of ethical intelligence.

In this lesson, we'll dive into the first ethical principle of AI development and use: do no harm.

We'll explore the concept of non-maleficence and the various ways in which AI can pose risks and unintended consequences, ranging from biased decision-making to safety concerns.

We'll also discuss the challenges of balancing risks and benefits in AI development and deployment, and the importance of considering the broader ethical implications of AI for society as a whole.

By the end of this lesson, you'll have a deeper understanding of the principle of do no harm and the critical role it plays in AI ethics.

In this lesson, we'll explore the second ethical principle of AI development and use: making things better.

We'll discuss the principle of beneficence and the various ways in which AI can be leveraged to promote positive outcomes and social good.

We'll also delve into the ethical challenges of maximizing benefit while minimizing harm and avoiding unintended consequences.

Finally, we'll discuss the power and responsibility of AI users and of course developers to prioritize positive impact and sustainable development in the age of intelligent machines.

By the end of this lesson, you'll have a better understanding of the principle of making things better and the critical role it plays in AI ethics.

In this lesson, we'll explore the fifth and final ethical principle of AI use and development: care.

We'll discuss the concept of care and its relationship to empathy, compassion, and responsibility in AI ethics.

We'll explore the importance of building trust and long-term relationships with users and other stakeholders in the development and use of intelligent machines.

We'll also discuss the ethical challenges of balancing efficiency and caring in AI decision-making and the importance of prioritizing human needs and values.

By the end of this lesson, you'll have a deeper understanding of the principle of care and the critical role it plays in building ethical and sustainable AI systems.

In this lesson, we'll focus into the issue of bias in AI and its ethical implications.

We'll explore some of the ways in which bias can be introduced into AI systems, from biased data collection to algorithmic design.

We'll also discuss the challenges of detecting and mitigating bias in AI systems, and the importance of building fair and unbiased AI models. All of this is done while highlighting one of the 5 main principles for ethical intelligence.

Finally, we'll explore the ethical considerations involved in addressing AI bias and the role of AI developers and users in ensuring responsible and ethical AI use. By the end of this lesson, you'll have a better understanding of the issue of AI bias and the critical role it plays in AI ethics.

In this lesson, we'll provide a summary of the five ethical principles of AI and the framework for responsible and ethical AI use.

We'll discuss the main, key takeaways from each of the principles - do no harm, make things better, respect others, be fair, and care - and how they intersect with each other to form a comprehensive ethical framework for AI.

As we conclude this course, we want to leave you with a few key calls to action for working with AI, ChatGPT, Bard, ERNIE bot, and other intelligent machines ethically.

First and foremost, we encourage you to adopt a human-centered approach to AI development and use, prioritizing the ethical principles of do no harm, make things better, respect others, be fair, and care.

Second, we encourage you to continue learning and staying up to date on the latest developments in AI and AI ethics, and to engage with the broader community of AI developers, users, and stakeholders in ongoing discussions and debates.

Finally, we encourage you to take an active role in promoting responsible and ethical AI use, by advocating for transparency, accountability, and fairness in AI systems, and by working to mitigate bias, discrimination, and unintended consequences.

Together, we can harness the power of AI for positive impact and social good, while also safeguarding against potential harms and negative outcomes.