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 212 (9th August 2024)
The government is proposing a voluntary Code of Practice on the cyber security risks to AI that will be taken into a global standards development organisation for further development. It sets baseline security requirements for all AI technologies and distinguishes actions that need to be taken by different stakeholders across the AI supply chain.
Categories:
Keywords:
Friday Reading Edition 212 (9th August 2024)
The UK’s new Labour government has inherited a pro-innovation regulatory framework for AI, one that heavily leverages sector-specific expertise to govern this technology. While the framework has been well-received globally, Labour’s manifesto hinted at stronger policy interventions for AI.
Categories:
Keywords:
Friday Reading Edition 212 (9th August 2024)
Knowing where to look for coverage is key to solving the AI puzzle.
Categories:
Keywords:
Friday Reading Edition 212 (9th August 2024)
The use of artificial intelligence in the EU will be regulated by the AI Act, the world’s first comprehensive AI law – this came into force on 1 August 2024.
Categories:
Keywords:
Friday Reading Edition 212 (9th August 2024)
AI has transformational potential, but there are risks which must be carefully assessed and managed. Insurance will play a crucial role in risk management and businesses are well-advised to identify pro-actively their AI risks and consider whether their existing insurance arrangements are suitable for the emerging risks.
Categories:
Keywords:
Friday Reading Edition 212 (9th August 2024)
The study looks at emerging AI risks across 10 industries in the next decade, exploring the probability and severity of various AI-related loss incidents, due to six risk categories that include data bias, cyber incidents, algorithmic and performance-related risks, among others
Categories:
Keywords: