Learnings from Semester 1:
- Data and Artificial Intelligence Ethics, Law and Governance:This course provided valuable insights into the legal and ethical considerations surrounding data and AI. GDPR and AI ACT knowledge is crucial for ensuring compliance and ethical use of AI.Understanding GDPR and AI regulations will be pivotal in addressing data privacy and legal compliance in my project.
- Ethics of Robotics and Autonomous Systems: Exploring the ethics of robotics and autonomous systems broadened my understanding of ethical issues in emerging technologies. This perspective can contribute to the ethical considerations in AI market sentiment analysis.
- Data-Driven Innovation in Services: Apply service design principles learned in this course to enhance the user experience and interface design in your AI market sentiment analysis project.
- Mental Health in the Anthropocene: Exploring the impact of climate crisis on mental health expands my awareness of the broader societal issues. This broader perspective can influence my approach to ethical considerations in AI projects.
- Text Remix: Apply text remixing techniques to preprocess and analyze textual data in my sentiment analysis project, adding a creative dimension to data handling.
Looking Forward to Semester 2:
- ntegrating Multidisciplinary Knowledge: Applying ethical principles learned across different courses, merging legal compliance, ethical considerations, and innovative service design in my project.
- User-Centric Approach: Utilizing insights from services innovation to create user interfaces that are transparent, user-friendly, and aligned with ethical standards.
- Societal Impact Considerations: Drawing from the mental health course, incorporating a societal impact perspective into the AI market sentiment analysis, recognizing potential implications for users and society.