Since March 2020, Airmic has been issuing Friday Reading, a curated series of readings and knowledge resources sent by email to Airmic members. The objective of Airmic Friday Reading was initially to keep members informed during the Covid-19 pandemic. Today, Airmic Friday Reading has evolved in scope to include content on a wide range of subjects with each email edition following a theme. This page is a searchable archive of all the readings and knowledge resources that have been shared.
Friday Reading Edition 223 (25th October 2024)
Discusses what is, and what could be, coming down the track in the world of AI regulation and, in particular, the regulation of the use of AI in the workplace.
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Friday Reading Edition 223 (25th October 2024)
There is no evidence that AI-enabled disinformation or deepfakes meaningfully impacted the UK or European election results. However, the aftermath of these cases suggests wider damage to the integrity of the democratic system. We identified evidence of deepfakes inciting online hate against political figures, potentially threatening their personal safety.
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Friday Reading Edition 223 (25th October 2024)
AI presents opportunities for innovation and efficiency, but also introduces data and cybersecurity risks. Through a multifaceted data security approach, you can protect your data and tap AI’s potential.
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Friday Reading Edition 223 (25th October 2024)
AI is increasing the risk of sophisticated attacks by advanced groups, and lowering the barriers to entry for less skilled hackers
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Friday Reading Edition 223 (25th October 2024)
AI is increasingly becoming an integral asset to various industries, offering insights, streamlining processes, and boosting efficiency. However, its widespread adoption comes with significant challenges for businesses, insurers and regulators.
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Friday Reading Edition 223 (25th October 2024)
[Free to download full report upon sharing contact details] Wherever there are opportunities, there are also risks. And AI, like any technology, can go wrong. AI may fail against performance benchmarks; it may inadvertently perpetuate discrimination; it could be subject to malicious attack; or it will perhaps cause real world damages.
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