2025 AI Context's
In 2025 we have been given three contexts:
AI generated content in social media
Car safety systems
Uses in healthcare.
You may have already guessed these were the themes based on previous pages.
Students who do well in the exam are Widely read on the topic. This means that they know enough about the topic to be able to answer any curveball question that comes their way.
In this section I will provide articles about these areas and ask questions.
AI generated content in social media
Car safety systems
Uses in healthcare.
You may have already guessed these were the themes based on previous pages.
Students who do well in the exam are Widely read on the topic. This means that they know enough about the topic to be able to answer any curveball question that comes their way.
In this section I will provide articles about these areas and ask questions.
Literacy
For this assessment there is a higher level of literacy required to gain different grades.
Describe: Achieved - What, When Where and Who.
Example: AI can be used in Healthcare by professionals to detect cancer in x-rays from patients in medical imaging.
Explain: Merit - Add How and Why to Describe
Example: Through the use of machine learning and neural networks AI can be trained to detect cancer in patients from X-Rays. The Neural network will be trained with large data sets of patients with cancer and patients without. It then could develop an algorithm to detect patterns of cancer. From this it could make a prediction with new images as to whether a patient has cancer or not. There are many benefits to doing this such as having more accurate predictions and lower overheads as you don't have to hire so many experts.
Discuss: Excellence - Take into account different Ideas
Example continued from previous paragraphs: There may however be other issues involved with using AI for cancer detection. For example the data set would need to be wide and varied to include a diverse range of people. For example is there a difference in the pattern detection for people with a different gender or race? On top of this there could be legal issues having a machine misdiagnose an individual. Hospitals and the medical profession would have to look at the tradeoff between faster and cheaper diagnoses and potential liability for using AI which can malfunction. In order to remedy this some hospitals use both AI and a technician to get the best possible result.
Task: Complete the table in your One Note:
Describe: Achieved - What, When Where and Who.
Example: AI can be used in Healthcare by professionals to detect cancer in x-rays from patients in medical imaging.
Explain: Merit - Add How and Why to Describe
Example: Through the use of machine learning and neural networks AI can be trained to detect cancer in patients from X-Rays. The Neural network will be trained with large data sets of patients with cancer and patients without. It then could develop an algorithm to detect patterns of cancer. From this it could make a prediction with new images as to whether a patient has cancer or not. There are many benefits to doing this such as having more accurate predictions and lower overheads as you don't have to hire so many experts.
Discuss: Excellence - Take into account different Ideas
Example continued from previous paragraphs: There may however be other issues involved with using AI for cancer detection. For example the data set would need to be wide and varied to include a diverse range of people. For example is there a difference in the pattern detection for people with a different gender or race? On top of this there could be legal issues having a machine misdiagnose an individual. Hospitals and the medical profession would have to look at the tradeoff between faster and cheaper diagnoses and potential liability for using AI which can malfunction. In order to remedy this some hospitals use both AI and a technician to get the best possible result.
Task: Complete the table in your One Note:
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AI generated content in social media
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Likely Exam Questions:
Articles:
https://www.theguardian.com/commentisfree/2025/apr/21/ai-slop-artificial-intelligence-social-media perverse information ecosystem is being mined by big tech for profit, fooling the unwary and sending algorithms crazy https://aicontentfy.com/en/blog/rise-of-ai-generated-social-media-posts https://www.euronews.com/next/2025/02/16/ai-slop-is-flooding-the-internet-this-is-how-can-you-tell-if-an-image-is-artificially-gene https://www.richardhayes.co.nz/ai-generated-influencers/ |
Articles:
Dead Internet Theory: https://www.forbes.com/sites/danidiplacido/2024/01/16/the-dead-internet-theory-explained/ "The Dead Internet Theory is the belief that the vast majority of internet traffic, posts and users have been replaced by bots and AI-generated content, and that people no longer shape the direction of the internet." 
Task: Copy an describe, explain and discuss example into your table. Using articles as your source write a paragraph for each.
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Car Safety Systems
Terms and Definitions:
AI with car safety systems can be used but are not limited to the following ways:
1.) Lane Keeping
2.) Emergency braking
3.) Pedestrian detection
The following systems will need to be talked about in your answers:
Sensor Input - Sensors that gather input from the real world
Sensor Fusion - Sensors that work in conjunction in order to detect obstacles e.g. Ultra Sonic sensors with Infared
Real Time Processing - The need for the safety feature to process real time information and react within seconds
information systems - The need for large databases of information to communicate with each other when driving.
AI with car safety systems can be used but are not limited to the following ways:
1.) Lane Keeping
2.) Emergency braking
3.) Pedestrian detection
The following systems will need to be talked about in your answers:
Sensor Input - Sensors that gather input from the real world
Sensor Fusion - Sensors that work in conjunction in order to detect obstacles e.g. Ultra Sonic sensors with Infared
Real Time Processing - The need for the safety feature to process real time information and react within seconds
information systems - The need for large databases of information to communicate with each other when driving.
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Articles:
Integrating Artificial Intelligence into Car Safety Systems https://www.allstarsit.com/blog/integrating-artificial-intelligence-into-car-safety-systems Car safety systems have constantly developed. Technological breakthroughs, changing regulations, and the goal of lowering traffic deaths contributed to it..... Enhancing road safety with AI in Automotive Solutions https://keymakr.com/blog/enhancing-road-safety-with-ai-in-automotive-solutions/ AI in Automotive has become key for road safety. It uses advanced driver systems, predictive maintenance, and traffic management to boost security. The Rise of AI in Vehicle Safety https://www.ravin.ai/blog/the-rise-of-ai-in-vehicle-safety The premise of AI in automotive safety is founded on the capability of machine learning algorithms to analyze vast amounts of data from numerous sensors embedded in vehicles.... More: https://emerj.com/ai-for-self-driving-car-safety-current-applications/ https://www.netguru.com/blog/ai-in-automotive https://innotechtoday.com/ai-safety-systems-improving-for-autonomous-cars/ https://x.com/jonbbc/status/1934402155005334001 |
Likely exam questions:
Task: Copy an describe, explain and discuss example into your table. Using articles as your source write a paragraph for each.
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Uses in healthcare
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Likely Exam Questions:
Task: Copy an describe, explain and discuss example into your table. Using articles as your source write a paragraph for each.
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Articles:
https://www.weforum.org/stories/2025/03/ai-transforming-global-health/ 6 ways AI is transforming healthcare https://www.auckland.ac.nz/en/news/2024/04/29/ai-potential-in-healthcare.html Dr Reza Shahamiri describes some of the ways AI is transforming healthcare services to be more accessible and affordable, and how it's going to get even better. https://health.ec.europa.eu/ehealth-digital-health-and-care/artificial-intelligence-healthcare_en AI is transforming the pharmaceutical sector across the entire lifecycle of medicines, from medicinal product discovery and development to pharmacokinetics, evaluation, manufacturing, marketing, approval, and pharmacovigilance. 
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