#TheWeekinData: Unable to produce a response * Bias in fraud detection AI * David who? * AI inspiration News emerged this week of bias in the AI system used to detect benefit fraud in the UK. Documents released under the Freedom of Information Act by the Department for Work and Pensions (DWP) revealed that an AI system showed bias according to people’s age, disability, marital status, and nationality when recommending people to investigate for welfare fraud. Find out more... https://hubs.li/Q02-JcR90
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A fascinating report.
Recent years have been challenging for many local authorities. Reduction in the size of workforces and economic pressures have impacted many areas of public life. Arguably, one of the areas where this has been felt most keenly has been child and family welfare. This week we focus on the use of AI in social care and ask the question – are these tools ready to deal with the complex challenges they’re faced with? Read more https://lnkd.in/eDgQUtmU By Debbie Watson, Weiru Liu, Marisela Gutierrez Lopez and Lisa May Thomas ESRC: Economic and Social Research Council, UK Research and Innovation, University of Bristol Engineering #sociodigitalfutures #artificialintelligence #socialcare #care #AI
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I am excited to share an article Sivaraj Sethunamasivayam, Niklas Jansson, and I wrote on how software transforms the welfare sector. In an area where every decision can directly impact lives, it's crucial to have efficient solutions that improve support for those in need. Our piece dives into how technology can create positive change for communities. Take a look and see how innovation is making a difference in welfare!
As modern technology platforms fuel a transformation of public welfare agencies, what impact will this have on how citizens interact with their service providers? In this new article by Sivaraj Sethunamasivayam, Niklas Jansson, & Blaise Jamroz we explore the shift from traditional public services to a more integrated, citizen-focused approach enabled by new technology. With rising caseloads, economic strain and shifting demographics, public welfare agencies are realizing that continued investment in new technologies, including AI and Gen AI, is essential. By embracing AI-infused solutions for data sharing, communication and digital identities, governments can overcome existing challenges and shape a more efficient, citizen-centric system. This is good news for citizens whose needs can be better predicted and for whom services can be personalized by agencies investing in AI and machine learning. To find out more about modern platforms and how they are helping to reshape public sector service delivery, Read the full article here: https://lnkd.in/ddUnXGvt #PublicWelfare #CitizenCentric #PublicSector #GenAI
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The integration of AI systems into the workplace has brought about significant advancements in increasing efficiency across HR systems and lowering costs for employers. However, there is a growing concern around how biased data can make its way into AI systems, with potentially harmful and discriminatory results. In our latest AI series article, Employment, Pensions and Benefits partner, Alice Duffy, associate Ciara Taggart and trainee solicitor Niall Quinlan explore some of the key challenges surrounding AI bias, the reasons why they occur and how organisations can address them. Read more here - https://lnkd.in/eSiJdbrT #MathesonLaw #EmploymentLaw #EU #ArtificialIntelligence
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Biased by design? In our third article in our AI series, Ciara Taggart, Niall Quinlan and I explore the challenges surrounding AI bias and how organisations can address associated risks. #AI #MathesonLaw #bias #employmentlaw
The integration of AI systems into the workplace has brought about significant advancements in increasing efficiency across HR systems and lowering costs for employers. However, there is a growing concern around how biased data can make its way into AI systems, with potentially harmful and discriminatory results. In our latest AI series article, Employment, Pensions and Benefits partner, Alice Duffy, associate Ciara Taggart and trainee solicitor Niall Quinlan explore some of the key challenges surrounding AI bias, the reasons why they occur and how organisations can address them. Read more here - https://lnkd.in/eSiJdbrT #MathesonLaw #EmploymentLaw #EU #ArtificialIntelligence
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Concerned that your AI systems may be biased? In the third article of our AI series, Alice Duffy, Ciara Taggart and Niall Quinlan explore some of the key challenges surrounding AI bias and how organisations can address them. #MathesonLaw #EmploymentLaw #ArtificialIntelligence
The integration of AI systems into the workplace has brought about significant advancements in increasing efficiency across HR systems and lowering costs for employers. However, there is a growing concern around how biased data can make its way into AI systems, with potentially harmful and discriminatory results. In our latest AI series article, Employment, Pensions and Benefits partner, Alice Duffy, associate Ciara Taggart and trainee solicitor Niall Quinlan explore some of the key challenges surrounding AI bias, the reasons why they occur and how organisations can address them. Read more here - https://lnkd.in/eSiJdbrT #MathesonLaw #EmploymentLaw #EU #ArtificialIntelligence
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According to The Guardian, an AI system used by the UK government to detect welfare fraud is showing bias. This emphasis the importance of using neutral racial bias specially in the AI space. https://lnkd.in/d3JyUjXZ #digitalidentity #biometrics #AI #GenAI
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📽 Don't miss Gary A. Officer's interview with Ramona Schindelheim for WorkingNation's "Age in America" in collaboration with Scripps News! In this thought-provoking discussion, our President & CEO delves into the pressing need to prioritize reskilling older workers as we navigate the evolving workforce landscape shaped by AI and technological advancements. "In many of the conversations about workforce opportunity around the effects of AI and the future of work, it never addresses the issues of this emerging population of older workers who by 2030 will become one of the largest single segments of our workforce." Gary A. Officer Tune in to gain valuable insights and perspectives on this critical issue that will shape the future of work for generations to come. 🔗 Watch the full interview here: https://lnkd.in/euT6i6PD #OlderWorkers #Reskilling #FutureWorkforce #AI
Reskilling older workers needs to be a priority | Age in America | Gary Officer
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Multi-award winning Financial Planner and MD at Magenta - Helping women confidently navigate their finances ✨Business Owner ✨ Speaker ✨ Podcast Host
🌟 Are we inadvertently coding greater inequality into our future? In his thought-provoking blog for the FFEM community this month, Adam Owen explores how AI in finance may perpetuate gender bias, leaving women disadvantaged. With alarming statistics on pensions and financial advice, he urges us to scrutinise our AI tools and advocate for fairness in our industry. Let’s ensure that our advancements do not repeat historical biases! Read the full blog to discover how we can reshape the financial landscape for the better. 👉 https://ow.ly/IuXa50TZeCP
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Researchers at MIT have developed a groundbreaking visual analytics tool designed to aid child welfare specialists in interpreting machine learning predictions for case screenings. With the U.S. facing over 4.4 million reports of child abuse or neglect annually, this tool could significantly enhance decision-making processes. The project, led by MIT’s Kalyan Veeramachaneni and his team, focused on usability challenges in machine learning within high-stakes environments. Collaborating with a child welfare department in Colorado, the researchers created an interface that uses bar graphs to show how specific case factors influence predicted risks. This allows specialists to better understand why the model predicts a child’s removal from their home within two years. The study revealed that specialists prefer straightforward explanations of influential factors over complex computational insights. For more details, read the full article: https://lnkd.in/gjHXsUS4 #MachineLearning #AI #ChildWelfare #TechForGood #MIT #DataScience #Innovation #SocialImpact #VisualAnalytics #HighStakesDecisionMaking
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Mini Series: How AI may create new opportunities for Public Services! Public Services are at the brink of the most important improvement for decades. By rethinking what is possible and incorporating AI assistance to achieve significant better results for citizens the world over. Automating welfare eligibility screening isn't just about cutting costs—it's becoming a crucial strategy that involves a blend of technology, policy, and societal values. Today's Quick Take exposes a trend in automated welfare determinations that could, given the trajectory of technological adoption and regulatory landscapes, ripple through social systems globally - Check our Quick Take for the the full insight ... ---------------------------------------- Shaping Tomorrow is all about our Future - Horizon Scanning - Options Analysis - Trends and Weak Signals - Structured Overviews, Quick Takes, Graphics and Reports 🔔 Follow us, then click the bell on our profile to keep up to date 🔔
