A round-up of the industry news you might have missed that got SoundOut HQ talking
Amazon launches AI-powered image search feature “StyleSnap” for fashion shoppers
For shoppers who “struggle to find styles they can’t describe in words” (preach).
Amazon has introduced a new AI-powered visual search feature to its app, allowing fashion shoppers to search for items by uploading photos of looks they like.
The AI-powered tool will “match the look in the photo” and find similar items for sale on Amazon, taking into consideration a range of factors including brand, price range and customer reviews.
RIP iTunes: Apple Shifts Away from iTunes and Toward Its Separate Music App
No word yet if anyone will miss the perpetually glitchy Apple software, but it’s the end of an era nonetheless.
Apple is officially splitting iTunes into more focused apps: Apple Music, Apple TV, and Apple Podcasts. That’s the beginning of a move away from the ultra-consolidated iTunes, and part of an ongoing sunset for downloadable music.
Waitrose trials refill & bring-your-own containers scheme to reduce waste
Waitrose have raised the bar to heady heights with their new “Unpacked” concept that could save thousands of tonnes in packaging and plastic.
The concept features a dedicated refillable zone, a frozen ‘pick and mix’ and first borrow-a-box scheme. Absolute, plastic free #goals.
Love Island may be a ratings hit, but it’s a brand risk
Love Island is BACK. This summer’s biggest show on TV may give brands the opportunity to lay it on factor 50 thick with millennials, but with concerns around mental health support and a lack of body diversity, is the risk as high as the ratings?
Instagram launches… even more ads!
Coming soon to Instagram feeds everywhere: more sponsored advertisements from “influencers.”
While this may be good news for users with large followings who make money promoting products, for the rest of us, it could mean wading through more unwanted ads in our feeds.
Tackling bias in artificial intelligence (and in humans)
AI has the potential to help humans make fairer decisions—but only if we carefully work toward fairness in AI systems as well.
The growing use of artificial intelligence in sensitive areas, including for hiring, criminal justice, and healthcare, has stirred a debate about bias and fairness. Yet human decision making in these and other domains can also be flawed, shaped by individual and societal biases that are often unconscious. Will AI’s decisions be less biased than human ones? Or will AI make these problems worse?