The part of technological ethics that is special to artificial intelligence is called AI ethics. It is occasionally divided into human ethics and technological ethics. Human ethics is concerned with how people should act morally when they develop, produce, employ, and interact with AI systems. It also discusses the prospect of a superintelligent AI-driven singularity.
We must educate ourselves about the ethical issues and risks related to AI in light of its broad deployment. Some of the best educational institutions in the world have started AI ethics programmes to achieve this goal. We list our best choices in this section:
Artificial Intelligence Ethics – Coursera
The problems that AI has created, worsened, or transformed are examined in this course. By focusing on issues faced by AI practitioners and citizens, institutions, and societies, it offers a chance to consider the ethical, social, and cultural impacts of AI. By analysing case studies and examples in the context of the most important ethical frameworks, the course explores these topics.
Certification in Artificial Intelligence Ethics – Udemy
If there is such a thing as the artificial intelligence sector, it is taught in the AI, Ethics Certification course what is good and bad. The first segment of this three-part presentation asks, “What is ethics?” We will discuss the five most fundamental principles, its history, numerous perspectives, and business ethics. Second, a discussion on ethics as it directly relates to AI, featuring interviews with global founders. They will contrast the five conventional pillars with frequently discussed governance and leadership philosophies. They then create the framework for your ethics roadmap. Increasing trust between the general public, industry experts, and you, your product or service, is the goal.
AI and Data Science Ethics – edx
Business executives and data professionals now require AI frameworks and processes in order to achieve the greatest results while also acting as ethical corporate citizens and data professionals. There still has to be greater clarity regarding the when and why it is necessary, even if businesses and institutions are embracing AI principles and the language of ethics, trust, and accountability has permeated emerging technologies, AI, and data science. This course explains some of the principles and frameworks that put ethics and responsibility into reality in the data analytics profession, in addition to offering practical answers to the ethical, business, and leadership difficulties and challenges that arise when working in AI and Data Science.
University of Edinburgh’s Data Ethics, AI, and Responsible Innovation MOOC
The course looks at the ethical, social, political, and legal issues that data-driven innovation, AI, and ML systems raise. The Data Lab and the Data-Driven Innovation initiative are responsible for funding it. The course will include case studies on a variety of subjects, including bias, reuse of data, privacy and protection of data, and fairness.
The course investigates the societal effects of data-driven technologies and AI. Additionally covered are the tools required to safeguard and improve human autonomy and wellbeing as well as eliminate injustice and advance justice.
AI Ethics – LSE
The three-week online masterclass on AI ethics analyses the ethical potential and challenges presented by AI technologies. You will apply moral principles to real-world circumstances throughout this course in order to comprehend and address ethical problems including inequality, justice, and transparency. Find out how AI technologies can be used in many business contexts, such as recruiting and employee monitoring, and what this might entail for issues in your organisation, such as discrimination and power imbalances.
University of Helsinki’s position on AI ethics
Anyone interested in the ethical issues surrounding artificial intelligence and who wants to learn what can and cannot be done to develop AI in a way that is ethically sustainable should take this online course from the University of Helsinki. Students will learn how to apply ethical principles and theories to AI through practical exercises.
