If you’re struggling to understand the difference between Large Language Models, GenAI, AGI, machine learning and artificial intelligence, you’re not alone. Use of AI is appearing in almost every conversation for me and I’ve been compiling a reference list of AI resources for communications, technology and generally professional humans.
AI explainers
- An excellent general explainer on what is AI from McKinsey
- The 2023 Gartner Hype Cycle for Generative AI
AI and the future of work
- How the Team Flow Institute Fellows advocate for an approach that values human work and leverages AI’s potential
- A useful framework on AI in the digital workplace which breaks down specific use cases from James Robertson for Step Two
- How AI will affect the digital workplace from Steve Bynghall for DWG
- The CSCE’s Adrian Cropley exploring the use of AI for communication professionals
- Monique Zytnik’s book about Internal Communication in the Age of Artificial Intelligence
AI governance and ethics
- The Alan Turing Institute has a wealth of resources including
- Research on AI ethics and governance practice
- This report on Process-based governance in action
- The UK’s National AI Strategy
- TechTarget’s roundup of the 8 biggest ethical concerns with AI
- The IABC’s guiding ethical principles for AI
The environmental impact of AI
- Interesting article from Elisa Orru for Open Rights Org on the case for small data to reduce the environmental impact of AI, which references an MIT study which calculated that one training session of a large language model generates about 284 tons of CO2
- According to MIT Technology Review making an image with generative AI uses as much energy as charging your phone
- A great article from Harry Stanyer for Nexer Digital about why AI must prioritise sustainability
- A counter-article from WEF which highlights ways AI is being used to combat climate-change
AI in the news
- According to BCG, 20% of revenue in 2024 will be from AI
- Emerging technology and AI at Davos 2024
- The World Economic Forum’s 2023 Future of Jobs report which shows that AI and Big Data is in the top 3 skills business demand
- The impact on humans involved in training AI data as reported in The Guardian and a longer read on OpenAI’s exploitation of Kenyan workers in Time Magazine
AI and legal precedents
- The case Mata v. Avianca (No. 22-cv-01461) where legal precedents were made up, not checked, and presented in court
- The Society of Computer & Law wrote an excellent summary about an HMRC legal cases with AI hallucinations – aka Harber v Commissions for His Majesty’s Revenue and Customs [2023] UKFTT 1007 (TC)
- Air Canada tried to claim they weren’t liable for a chatbot giving incorrect advice about their bereavement policy