- Data and Artificial Intelligence Ethics, Law and Governance: Through this course, I gained a deeper understanding of the ethics and regulations surrounding artificial intelligence. I can contemplate how AI taxation aligns with ethical principles and regulations to ensure fairness and transparency in its implementation.
- Data-Driven Innovation in Services (Business Models for Service Design): In this course, I acquired knowledge about business models for data-driven innovation. In the paper, I can explore how AI taxation may influence data-driven innovation and its potential impact on business models for service design.
- Ethics of Robotics and Autonomous Systems: This course deepened my understanding of ethical principles related to robots and autonomous systems. In the paper, I can reflect on the role of AI taxation in promoting more responsible development of artificial intelligence to mitigate potential ethical risks.
- Data Ethics as a Practice: This course assisted me in evaluating the practical application of ethical principles. In the paper, I can consider how AI taxation can become a form of ethical practice to ensure that the use of AI technology aligns with societal values and expectations.
Drawing from these courses, I can comprehensively examine the legitimacy of AI taxation from ethical, regulatory, business model, and practical perspectives. I can explore its potential impact on society and assess whether taxation is necessary to balance technological development and social responsibility