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Alice and Sparkle

Alice and Sparkle

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TVTropes is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. I spent the weekend playing with ChatGPT, MidJourney, and other AI tools… and by combining all of them, published a children’s book co-written and illustrated by AI!

This is a story about a young girl named Alice who discovers the magic of artificial intelligence. She creates her own AI, named Sparkle, and together they go on adventures and use their combined knowledge to make the world a better place. The story explores the incredible abilities of AI and the importance of using them for good. It is a tale of friendship and exploration, filled with magic and wonder. This book was also co-created using AI tools to both aid in writing and illustration and is the first of its kind to do so.

Tropes include:

Leaning on the Fourth Wall: The creation of the book was meant to put a spotlight on the kind of storytelling that can be done with AI, and the plot of the book is about the good and bad that can be done with AI.

Maris Stratulis, national director of the British Association of Social Workers England, first voiced concerns last year. She remains worried. “Machine learning in social care still raises significant issues about how we want to engage with children and families,” she says. “Reports on its use in other countries have shown mixed results including potential unethical profiling of groups of people.” Art Shift: The artstyle ranges from the chibi-inspired style on the cover to a more realistic look . The debate has heated up even further with the announcement of Alice and Sparkle, created by design manager Ammaar Reshi. He completed the entire children’s book within a weekend using ChatGPT, MidJourney, and other AI tools. Technology has advanced enormously in the 30 years since the introduction of the first Children Act, which shaped the UK’s system of child safeguarding. Today a computer-generated analysis – “machine learning” that produces predictive analytics – can help social workers assess the probability of a child coming on to the at-risk register. It can also help show how they might prevent that happening. This is a story about a young girl named Alice who discovers the magic of artificial intelligence. She creates her own AI, named Sparkle, and together they go on adventures and use their combined knowledge to make the world a better place.Hillingdon council, in west London, has pioneered award-winning work in the use of predictive analytics to prevent the exploitation of vulnerable children and young people. Its Axis project, launched in 2017 with support from the Office of Data Analytics and the police, analyses information from the police, social care, health, youth offending, schools, youth services, community groups and the public to identify high-risk geographical areas. This has then enabled the council to redirect intensive youth work support services to these areas and divert young people from crime or violence.

The results were presented to the local community and a community-led commissioning group was set up, aiming to give parents, volunteers and teachers a chance to improve outcomes for children in the area. The council also hopes it will help prevent an increased demand on services later on. People are spending money buying in these services even when they are short of cash … but there are no silver bullets Michael Sanders, What Works centre Alice and Sparkle is a 2022 children's book published by Ammaar Reshi. Reshi created the book using artificial intelligence in one weekend, which sparked controversy among artists.Stratulis is also concerned at the role of profit-making companies in the new techniques. “Rather than focusing on learning from machines and algorithms, let’s focus on good, relationship-based social work practice,” she says. The key issue from a purely evaluative perspective is whether machine learning will perform better than traditional analysis. Sanders believes it may in some cases, though he stresses the jury remains out, which would then trigger the further question of practitioners’ ability to understand the data without having a doctorate in statistics.



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