The f(x) = e^x | AI journalism: possibilities, limitations, and outcomes

AI journalism: possibilities, limitations, and outcomes

My latest article:

In 2012, it was predicted that within 15 years, more than 90 percent of news articles would be written by a computer. 8 years later, a lot of progress has been made and AI journalists are increasingly ‘employed’ by publisher and organisations. The good news for human journalists is that there’s still very much a need for their services when writing articles like this one. But with machines now capable of doing more tasks than ever (and more complex ones), we face several important questions: what’s the role of AI in journalism, and what are the challenges and considerations when bringing AI into the newsroom?

Three Useful Nuggets of Information

My weekly tips from around the web to get you thinking.

1. Deepfakes are now used for corporate training videos.

Coronavirus restrictions make it harder and more expensive to shoot videos. So some companies are turning to synthetic media instead. (Wired)

2. Personalise your blog, in real-time.

Adobe has created a tool that allows blog owners to personalise headlines and images in real-time for different visitors, bringing personalisation to a new level. (TechCrunch)

3. Who knew that fax machines could be a bottleneck?

In the US, health officials are still using fax machines in their attempt to fight the Coronavirus. A broken data system and incomplete results are becoming a bottleneck. (NY Times)