Gabriel Pomasin的动态

?? **AI & Policing: A 2024 Review** ?? In 2024, the landscape of policing transformed significantly with the integration of AI technologies. Here are some key highlights: ?? **Surveillance Expansion**: Law enforcement agencies increasingly adopted AI-driven surveillance tools, leading to a staggering 20% rise in surveillance operations over the previous year. ?? **Predictive Policing Concerns**: Algorithms used for predictive policing faced widespread criticism, as communities raised alarm about racial bias and the potential for wrongful targeting. Nearly **60% of surveyed communities** expressed concerns regarding transparency and civil liberties. ?? **Legislative Movement**: In response, several states introduced bills aimed at regulating AI use in policing, with **27 key proposals** emerging across the nation. ?? **Community Engagement**: AI implementation prompted new policies encouraging community engagement, with **over 70% of police departments** reporting improved public relations initiatives involving AI transparency. ?? **Looking Ahead**: As AI continues to evolve, the conversation on ethical use and accountability in policing grows vital. 2024 signifies a pivotal year in harnessing technology while safeguarding civil rights! Let us know your thoughts on the future of AI in law enforcement! ?? #AIPolicing #DataPrivacy #TechForGood #SocialJustice

Biased predictive policing funded by US gov, lawmakers say The use of biased predictive policing systems in the US has sparked a debate among lawmakers who are now demanding accountability and transparency in the use of AI technology. Although this issue is specific to the US, it is a matter of concern addressed by the CHARLIE project in Europe. The project has set out to challenge biases in AI and promote fairness and transparency in technology. In future, we will explore how similar issues are being tackled in the European context and what lessons can be learned from the CHARLIE project. Read the full article: https://lnkd.in/d6_VnJ_k #PredictivePolicing #EthicalAI #CHARLIEproject #Erasmus

AI-Driven Policing: Enhancing Safety in Warner Robins The Warner Robins Police Department is stepping into the future of law enforcement by integrating cutting-edge artificial intelligence technologies into their crime-fighting repertoire. By harnessing AI, the department is not only improving the efficiency of their operations but also enhancing their ability to predict, prevent, and respond to criminal activities. This transformative approach underscores a commitment to creating safer communities through smarter policing. Artificial intelligence is revolutionizing traditional law enforcement methods. Key applications include analyzing vast datasets to identify crime patterns and employing predictive policing techniques to allocate resources more effectively. This strategic initiative reflects a proactive stance towards complex challenges faced by law enforcement agencies, ultimately leading to a reduction in crime rates and an increase in public safety. As AI continues to evolve, what are the implications for privacy, safety, and community trust in law enforcement? Your thoughts on the balance between technology and privacy in modern policing are crucial. #ArtificialIntelligence #LawEnforcement #CrimeFighting #PublicSafety #TechInnovation #CommunityPolicing - - - - - - - - - - "P.S.: Need a relaxing break? Discover unique books to spark creativity at www.sleepyhippie.com"

???????????????????? ???????????????? ?????? ????: ?? ?????????????????????????? ????????????????????????????? Predictive policing leverages AI to forecast potential criminal activity, but the European Union is taking a stand against it. Two MEPs are advocating for a partial ban on these AI systems, citing violations of human dignity and the presumption of innocence. ?? ???????? ???? ???????????????????? ????????????????? ?? Predictive policing uses data analysis and machine learning to predict where crimes are likely to occur and who might commit them. While it sounds futuristic, the practice raises significant ethical and legal concerns. ?? ?????? ?????? ???? ???? ???????????? "????"? ? The European Union's draft report highlights several risks associated with predictive policing: ???????????????????? ???? ?????????? ??????????????: AI-driven risk assessments can undermine the principle of presumption of innocence. ??????????????????????????????: These systems often disproportionately target marginalized communities, exacerbating systemic inequalities. ?? ?????? ??????'?? ?????????? ?? The proposed ban includes AI systems that predict individual criminal behavior but does not extend to those profiling areas for crime risks. Critics argue this oversight could perpetuate discriminatory policing practices. ?? ????????'?? ????????? ?? The debate continues as the EU's LIBE and IMCO committees prepare to discuss and vote on these amendments. The outcome will shape the future of AI in law enforcement across Europe. ?? ???????? ?????? ???????????????????????? ?? As AI continues to evolve, it's crucial to balance innovation with ethical considerations. Share your thoughts on the impact of predictive policing and the EU's stance. An online article on the topic published by ComputerWeely is linked below for further reading. #PredictivePolicing #AI #EthicalAI #DataPrivacy #HumanRights #Innovation #EU #TechPolicy #Justice #FutureOfPolicing #ArtificialIntelligence #SustainableTech

AI is changing the future of policing. This article offers great insights into the latest advancements.

?? We are proud to announce that AI4INTERVIEWS has been invited to present at the Policing in the Digital Society Conference 2024/2025: Opportunities and Challenges in Digital Policing – Theoretical and Practical Perspectives. This conference takes place at Northumbria Law School in Newcastle from January 22–24, 2025. Our talk, titled “Evaluating Suitability of Speech-to-Text AI Models for Transcribing Real Police Investigative Interviews,” will delve into how cutting-edge speech-to-text technology can be leveraged for transcribing police investigative interviews with precision and efficiency. ?? Project Background - This journey began earlier this year as we tested 50 carefully selected interview files, spanning cases of violent crime and homicide, economic crime, and child abuse. The dataset was strategically curated to ensure diversity in age, gender, dialects and dialogue speed. This test data allowed us to evaluate the performance and accuracy of speech-to-text models. ?? Acknowledgments and Insights - We extend our heartfelt thanks to the investigators and transcribers who contributed to this effort. Your opinions, detailed feedback and participation in the questionnaires and in producing the “ground truth” were invaluable! ?? Following the transcription phase, our great colleagues Thomas Beka and Kyle Andrew Porter, PhD conducted both qualitative and quantitative analyses to evaluate the models’ performance and the participants opinions. The findings have set a strong foundation for continuing our work and advancing the practical use of AI in digital policing. Furthermore, the research design I strongly believe we will "repeat" and fine-tune in the future. ?? This marks an important milestone for the project, and we’re excited to continue contributing to the evolving conversation around innovation in law enforcement. We hope to see you at the conference ?? #LawEnforcement #InvestigativeInterviews #Investigation #AI-innovation #AI4INTERVIEWS? https://lnkd.in/dyYFfuvP

?? New Blog Alert! ?? Check out our latest blog post "AI in Policing: Addressing Fears and Building Trust with AI-Assisted Body-Worn Camera Review"! ?? https://loom.ly/3LR2-M0 #TRULEO #Blog #AIinPolicing #Trust

Some familiar names in here!

More reason why AI should be evidence led - not 'it-will-do-this led' or 'technology led' The Effectiveness of Big Data-Driven Predictive Policing: Systematic Review https://lnkd.in/ev8AZdGS

?? Enhancing Law Enforcement with AI Officer Support ?? In an age where technology is advancing at an exponential rate, the integration of AI Support within law enforcement agencies is not just innovative, it's essential. The modern Smart Squad now has an indispensable ally in the form of AI-powered assistance, revolutionizing the way our officers protect and serve. The benefits are clear and multifaceted. With AI-driven data analysis, law enforcement can predict crime hotspots, allocate resources more effectively, and even prevent crimes before they occur. This proactive approach to policing not only enhances public safety but also ensures that officers can make informed decisions in critical moments. AI isn't just about crunching numbers; it's about saving lives. By sifting through vast amounts of data faster than any human could, AI enables law enforcement to identify patterns that might go unnoticed. From tracking down stolen vehicles to analyzing social media for potential threats, the applications are as practical as they are impressive. Moreover, administrative duties become streamlined thanks to AI Support. By automating paperwork and routine tasks, officers are freed up to focus on what they do best – keeping our communities safe. It's a game-changer for efficiency and effectiveness in law enforcement operations. We stand on the brink of a new era for policing – one where our Smart Squad is equipped with the tools necessary for 21st-century challenges. Embracing AI in Law Enforcement is not just about keeping up with technology; it's about leading the charge in creating safer neighborhoods for everyone. Join us in championing this pivotal shift towards smarter policing through AI support. We're not just imagining a safer future; we're building it today! #LawEnforcement #AISupport #SmartSquad #PolicingTheFuture #SaferCommunities