Re-tell Lecture — Technology

Read the lecture ONCE, then re-tell it in your own words in 40 seconds without looking back. How algorithms shape what we see online Social media platforms use algorithms to determine which content appears in each user's feed. These algorithms analyse vast amounts of data — what you click, how long you pause on a post, what you share — to predict what will keep you engaged longest. Content that provokes strong emotional reactions, whether outrage or delight, tends to spread faster because it generates more clicks and comments. Critics argue this creates filter bubbles: environments in which users see only information that reinforces their existing views, because the algorithm has learned those views generate engagement. The consequences for public discourse are significant. Misinformation often outperforms balanced reporting because it is more emotionally charged. Platforms profit from engagement regardless of accuracy, which creates a structural conflict between commercial interests and the quality of information available to the public.

Read the lecture ONCE, then re-tell it in your own words in 40 seconds without looking back. The future of automation and work Automation has been replacing human labour for centuries, from the mechanised looms of the Industrial Revolution to the robots on modern factory floors. The current wave is different because artificial intelligence enables machines to perform not just physical tasks but cognitive ones: analysing data, writing reports, diagnosing diseases. Economists disagree about the net effect on employment. Optimists point out that every previous wave of automation created more jobs than it destroyed by making products cheaper and generating entirely new industries. Pessimists argue that this time is different because AI can substitute for a much wider range of skills. The most likely outcome is a significant shift in the types of jobs available rather than mass unemployment. Roles that require creativity, empathy, and complex social interaction are harder to automate, while routine cognitive tasks face the highest risk of displacement.

Read the lecture ONCE, then re-tell it in your own words in 40 seconds without looking back. Data privacy in the digital age Every online action generates data: the websites you visit, the products you browse, the messages you send. Companies collect this data to build detailed profiles of consumer behaviour, which they use to target advertising and personalise services. The scale of collection is enormous: a single smartphone can generate over a gigabyte of personal data per month. Privacy concerns arise because users rarely understand how much data is gathered or how it is used. Data breaches expose millions of records to criminals, and even without breaches, the aggregation of seemingly harmless data points can reveal sensitive information about health, political views, and personal relationships. Regulations like the European Union's General Data Protection Regulation attempt to give individuals more control, requiring companies to obtain consent and allowing users to request deletion of their data. Enforcement, however, remains inconsistent.