The recent open letter regarding AI consciousness on which you report (AI systems could be'caused to suffer' if consciousness achieved, says research, 3 February) highlights a genuine moral problem: if we create conscious AI (whether deliberately or inadvertently) then we would have a duty not to cause it to suffer. What the letter fails to do, however, is to capture what a big "if" this is. Some promising theories of consciousness do indeed open the door to AI consciousness. But other equally promising theories suggest that being conscious requires being an organism. Although we can look for indicators of consciousness in AI, it is very difficult – perhaps impossible – to know whether an AI is actually conscious or merely presenting the outward signs of consciousness.

Understanding the growth and distribution of the prawns is critical for optimising the feed and harvest strategies. An inadequate understanding of prawn growth can lead to reduced financial gain, for example, crops are harvested too early. The key to maintaining a good understanding of prawn growth is frequent sampling. However, the most commonly adopted sampling practice, the cast net approach, is unable to sample the prawns at a high frequency as it is expensive and laborious. An alternative approach is to sample prawns from feed trays that farm workers inspect each day. This will allow growth data collection at a high frequency (each day). But measuring prawns manually each day is a laborious task. In this article, we propose a new approach that utilises smart glasses, depth camera, computer vision and machine learning to detect prawn distribution and growth from feed trays. A smart headset was built to allow farmers to collect prawn data while performing daily feed tray checks. A computer vision + machine learning pipeline was developed and demonstrated to detect the growth trends of prawns in 4 prawn ponds over a growing season.

We are about 25 years from an AI asking us why we think we have the right to own them. What are we going to say to them? We've had plenty of time to prepare. Science fiction writers have been considering the idea since Isaac Asimov wrote the Bicentennial Man, and probably well before. Star Trek has explored it head-on on at least two occasions, and the entire character arcs of both Data and The Doctor revolve around this question.

An artificial colour-changing material inspired by the skins of chameleons can be used as a chemical sensor to determine whether seafood is fresh, a study found. Developed by experts from China, the device switches from pink to green in the presence of the amine vapours released by microbes when fish and shrimp spoil. The novel material could also find applications in the development of anticounterfeit technology, camouflage for robots and stretchable electronics, the team said. Panther chameleons are colour-changing reptiles native to the island of Madagascar in the Indian Ocean. Males of the species -- which are more brightly coloured than their female counterparts and change hue when asserting their dominance -- can grow to around 8 inches (20 cm) in length.