AI and digital ethics in 2023: a ‘remarkable, eventful year’
At techUK’s Digital Ethics Summit, experts looked back on a year in which AI chatbots dominated debates, helped shape legislative agendas, and opened our eyes to the dangers posed by the ‘democratisation of disinformation.’
How data science and statistics can shape the UK’s AI strategy
At the Royal Statistical Society Conference this September, Real World Data Science brought together data scientists, statisticians, and policy experts to discuss the urgent topic of artificial intelligence – risks, benefits, evaluation, and regulation. Watch the panel discussion in full!
Join Real World Data Science at three events this October!
An introduction to Real World Data Science as part of RSS Members’ Week; a keynote talk at the NHS-R Community Annual Conference; and a panel debate on AI evaluation, exploring how data science and statistics can help make sense of AI models. Halloween costumes not required…
‘Go out and talk about data science, particularly to schoolchildren’
Open University professor Rachel Hilliam calls for data science outreach in schools, to build skills pipeline and plug gaps: ‘There is absolutely no reason why we can’t excite children in a career in data science.’
Testing out ChatGPT’s new Code Interpreter
OpenAI’s latest plugin turns ChatGPT into a tool for data cleaning, preprocessing, analysis, visualisation and predictive modelling tasks, among other things. Some have hailed it ‘the new data scientist’, but is it all it’s cracked up to be? Real World Data Science takes Code Interpreter for a test drive.
Teaching a chatbot about love, and other adventures from London Data Week
Our editor shares his personal highlights from the first ever London Data Week, including an art exhibition about AI, a panel discussion on the benefits of open source, and a workshop to help charities tap into statistical expertise.
How do people feel about AI? Well, it’s complicated
A new survey from the Ada Lovelace Institute and the Alan Turing Institute finds broadly positive views towards AI use cases in healthcare and border security, among others, but people are also concerned about the dangers of overreliance on the technologies and a lack of clarity around accountability.
What’s the future of data science and AI in an LLM world?
Osama Rahman, director of the Data Science Campus at the UK Office for National Statistics, shared his thoughts on the past, present, and future of data science at an event this week. Here are our key takeaways.
OpenAI’s text classifier won’t calm fears about AI-written homework
Educators are worried about ChatGPT being used by students for homework assignments, so OpenAI has released a tool to classify whether text is human- or AI-written. But relying on the classifier’s results is ill-advised, as some basic statistics shows.
Data science can help close the ‘digital skills’ gap, or so it seems
A ‘digital skills’ gap is harming employer productivity and growth, according to a survey by engineering body IET. But the ‘digital skills’ that are needed sound a lot like data science skills: statistical understanding, data analytics, AI and machine learning.
ChatGPT can hold a conversation, but lacks knowledge representation and original sources for verification
ChatGPT represents a next step in the evolution of large language models, says Detlef Nauck. However, there are still major challenges - and concerns - to overcome.
A chat with ChatGPT
‘Hello there! I’m a large language model trained by OpenAI, so I don’t have the ability to experience emotions or have a physical presence. I’m here to provide information and answer questions to the best of my ability. Is there something specific you would like to know?’
