The Six interesting courses on Ethical AI

This. Code of Artificial Intelligence Is a specific technological component of the ethics of technology. Sometimes it is broken down into human ethics and machine ethics. Human ethics is related to human moral behavior when they design, create, use and treat artificial intelligence systems. It also covers the possibilities of singularity brought about by intelligent AI.

Due to the widespread adoption of AI, we need to understand and discuss the ethical concerns and dangers associated with this technology. To that end, some of the world’s best educational institutions have launched AI ethics programs. In this section we present the top options:

Code of Artificial Intelligence – Coursera

This course examines the challenges that AI has created, aggravated or changed. It provides an opportunity to reflect on the moral, social and cultural impact of AI by focusing on the concerns faced by AI practitioners and citizens, institutions and society. The course examines these subjects by analyzing case studies and examples in the context of the most important ethical framework.

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Artificial Intelligence Certificate – Udemy

AI, Ethics Certification courses teach good and bad in the context of the artificial intelligence industry, assuming there is such a thing. This three-part program begins with the question, what is morality? We will describe its history, philosophies, corporate ethics, and the five most common principles. Second, ethics, as it relates directly to AI, including interviews with founders from around the world. They will compare the frequently mentioned principles of governance and leadership to the five traditional pillars. They then create the structure for your moral roadmap. The goal is to build trust between you, your product or service, industry experts and the general public.

Ethics in AI and Data Science – edx

For best results, while corporate citizens and data professionals are also responsible, today’s business leaders and data professionals need an AI framework and approach. As businesses and institutions embrace AI principles and the vocabulary of ethics, trust and responsibility, into the evolving AI and data science technologies, it still needs more clarity on when and why it is required. In addition to providing practical solutions to business ethics and leadership issues and challenges that arise when working in AI and Data Science, this course introduces a number of principles and frameworks that put ethics and responsibilities into account. Professional practice in data analysis.

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AI Data Ethics and Responsible Innovation (MOOC) – University of Edinburgh

This course examines socio-political, legal and ethical challenges with innovations driven by AI and ML data systems. It is funded by Data Lab and Data-Driven Innovation. Case studies on fairness, bias, data reuse and privacy and data protection, among other topics, will be covered in this course.

This course examines how data-driven and AI-driven applications impact society. Necessary tools to reduce injustice, promote justice and protect, and enhance human autonomy and well-being are also covered.

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AI Code of Conduct – LSE

A three-week online master class on AI ethics examines the opportunities and ethical issues of AI technology. Throughout this session, you will apply moral concepts to real situations to better understand and address ethical issues such as inequality, justice, and transparency. Find out how we can use AI technology in various business settings, such as hiring and monitoring employees, and what it could mean for issues in your organization, such as discrimination and energy imbalances.

AI Code of Conduct – Helsinki University

This online course from the University of Helsinki is for those who are interested in the ethical aspects of artificial intelligence and those who want to learn what can and cannot be done to develop sustainable, ethical AI. Practice exercises will teach students how to combine ethical concepts and theories with AI.


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