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❌ BIG Supreme Court Ruling on AI!

+ The downsides of AI in healthcare 🏥

Thursday is here! Holy sh*t it’s only 4 days until Christmas. Where did that come from?!

AI can’t invent things according to a new court ruling, and AI in healthcare isn’t all perfect.

Here is what you need to know about AI today in 5 minutes.
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  • AI Cannot “Invent” Rules Supreme Court

  • 🎨 Your Daily Image Prompt

  • Master ChatGPT in time for 2024

  • 📊 Poll of the Day

  • 🔨 GPT of the Week

  • 💡 AI-nspirational quote

  • 🏥 The Downsides of AI in Healthcare

  • 📸 Mindstream Image of the Day


A potentially landmark ruling on AI has taken place in the UK.

The UK’s supreme court has ruled that AI cannot be legally listed as an inventor.

This could have huge implications for copyrighting AI content going forward.

The big ruling

AI techie Dr Stephen Thaler had hoped to have his AI, called Dabus, recognised as the inventor of a food container and a flashing light beacon.

But in 2019, the Intellectual Property Office rejected this claim, deciding only a person could be named as an inventor. So, Thaler appealed.

The decision was then backed by both the High Court and Court of Appeal.

The IPO has argued that only "persons" can have patent rights, not AIs.

Now, five Supreme Court judges have dismissed a bid to reverse those decisions, concluding that "an inventor must be a person", and that an AI cannot be named as an inventor to secure patent rights.

AI can’t be that crazy inventor after all.

Wider implications

The impact of this could be wide-reaching. AI may not be adopted widely if companies cannot reliably copyright content generated from it.

However, the Supreme Court added that "the government will nevertheless keep this area of law under review to ensure that the UK patent system supports AI innovation and the use of AI in the UK".

Looks like this fight isn’t over yet!


AI models use a database of knowledge to generate “new” ideas - so it’s hard to argue they are the original inventor, although - doesn’t the human brain work in the exact same way?


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A new study has assessed the use of AI in healthcare, assessing how it impacts the accuracy of a diagnosis.

While it is generally good news, there are some downsides

The study in detail

The study assessed whether AI increased diagnostic accuracy depending on the accuracy of the model.

The results found that clinicians’ diagnostic accuracy improved when AI models performed accurately for clinical predictions and decreased in the presence of systematically biased AI predictions.

In other words, underperforming (incorrect) AI models will impact diagnoses negatively.

Although AI models’ predictions and explanations enhanced diagnostic accuracy, biased predictions impacted diagnostic accuracy.

The study concluded it is therefore essential to validate AI models before their incorporation into clinical settings.


An intersesting study that shows AI isn’t a total silver bullet to healthcare needs. Bad models = bad healthcare.


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