Data Ethics: The moral principles guiding data collection, sharing, and application practices.
AI and Ethics: Navigating the Challenges of Automated Data Processing explores how organisations can address transparency, accountability, and bias in the age of AI.
The Ethical Tightrope: Balancing Data Innovation and Privacy explores how organisations can harness the power of data responsibly, ensuring innovation does not come at the cost of individual privacy.
AI is revolutionising education by offering personalised learning, automating administrative tasks, and enhancing accessibility. However, its rise also brings challenges, including privacy concerns, potential bias, and the risk of dehumanising education. While AI can complement teaching, it cannot replace the human connection essential for fostering creativity and critical thinking. Striking a balance between leveraging AI’s capabilities and preserving the human elements of education is key to ensuring that technology serves students and educators effectively.
