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Police AI chief admits crime-fighting tech will have bias but vows to tackle it Exclusive: NCA’s Alex Murray says he hopes new £115m police AI centre can limit unfairness found in tools

"It's not Robocop." We think the point is being missed. Addressing #MachineBias is not enough. We need police transparency and accountability regarding their tools and community impact. Public scrutiny is essential. #StopAutomatedRacism 🕵️‍♂️⚖️ www.theguardian.com/technology/2...

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Public law litigation in the automated state - Public Law Project How can we use transparency mechanisms to make sure the public sector's automated decision-making is fair and lawful?

publiclawproject.org.uk/latest/publi...

#MachineBias #AIEthics

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ChatGPT hates LA Chargers fans : Harvard researchers find model guardrails tailor query responses to user's inferred politics and other affiliations

#AI #chatbots #MachineBias

'The reason, according to researchers affiliated with Harvard University, is that the model's guardrails incorporate biases that shape its responses based on contextual information about the user.'

www.theregister.com/2025/08/27/c...

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Muse™ - Data Ethics What is the specificity of digital ethics, and how do these considerations differ from those of ethics in general? These concerns are more a question of degree than of this kind, for each new generation of information technology introduces increasingly salient challenges for both business and huma

Link to the article:
www.listentoyourmuse.com/data...

#AIethics #artificialintelligence #machinebias #NorbertWiener #JamesMoor #ethicalAI #AIdecisionmaking #technologyandethics #trustinAI #AIbias #computerethics #globalAIimpact
#newsletter #muse #listentoyourmuse #technology #technologynews

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UK creating ‘murder prediction’ tool to identify people most likely to kill Exclusive: Algorithms allegedly being used to study data of thousands of people, in project critics say is ‘chilling and dystopian’

www.theguardian.com/uk-news/2025...

Algorithms are reportedly utilized to analyze data from thousands of individuals, prompting concerns about the project's implications. 🔍📊 #AIFairness #AIEthics #MachineBias

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Insurance consumers reportedly losing confidence in AI Insurance consumers are losing faith in AI, according to Insurity’s 2025 AI in Insurance Report, with only 20% supporting its use across the P&C insurance sector, down from 29% in 2024.

https://buff.ly/3EN4cjG Insurance consumers are increasingly concerned about using artificial intelligence in the industry. Many are worried about the transparency and fairness of AI-driven decisions, particularly in claims processing and pricing. #AI #MachineBias

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Algorithmic Bias in AI: What It Is and How to Fix It Want to learn more about Automated AI Governance? Read the ebook here → https://ibm.biz/BdGmayLearn more about Algorithmic Bias here → https://ibm.biz/BdGmaS...

https://buff.ly/42VUbL5 It can arise from various sources, including biased training data, flawed algorithms, and unequal representation of different demographic groups. #AI #MachineBias
#AIEthics

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What is AI Ethics?
What is AI Ethics? YouTube video by IBM Technology

www.youtube.com/watch?v=aGwY...

#AIEthics #MachineBias #TrustworthyAI

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AI bias will explode. But only the unbiased AI will survive. The number of biased AI systems and algorithms will dramatically increase, but we will come up with new solutions to control bias and champion AI systems fre...

https://buff.ly/2pDJHMk As AI becomes increasingly integrated into various aspects of daily life, including decision-making processes in finance, healthcare, and law enforcement, the demand for AI that operates without prejudice is more pressing than ever. #AI #MachineBias

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https://buff.ly/40iQvBo

Machine bias often arises from the data used to train these systems, which may reflect historical inequalities or prejudices. Therefore, developing strategies to identify and mitigate bias at every stage of AI development is crucial. #MachineBias #MachineLearning

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https://buff.ly/3ZToJKo Data bias can arise from various sources, such as how data is collected, processed, or interpreted. #AI #MachineBias

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Humans vs. AI: Who should make the decision?
Humans vs. AI: Who should make the decision? YouTube video by IBM Technology

youtu.be/8lo1s29ODj8?...

#IBM #MachineBias

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Mastering Bias and Variance in Machine Learning Models | ML Optimization • Get the guide for AI and ML governance → https://ibm.biz/governance-guides• Explore our bias monitoring technology → https://ibm.biz/ibm_watsonx_governance...

https://buff.ly/3OEzfzS Mastering bias and variance in machine learning is a fundamental step towards building robust predictive models. #AIfairness #MachineBias #MachineLearning

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It's worth reading #IBM ethics pillars. You find that automation needs governance that police and other state organisations are failing to deliver. The police in particular are using #AI unethically allowing for discrimination that impacts lives and communities. People not process. #MachineBias

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'HUD [Department of Housing and Urban Development] Sues Facebook Over Housing Discrimination and Says the Company’s #Algorithms Have Made the Problem Worse'
by @Ariana_Tobin @ProPublica
#MachineBias

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