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ai with ai: The Shadow of What Is Going to Be (Part 1)

/our-media/podcasts/ai-with-ai/season-2/2-35

Andy and Dave discuss a scathing report on Scotland Yard’s facial recognition software, which researchers at the University of Essex found to have an 81% error rate (but that the Met Police say has an error rate of 0.1%). In related news, Axon announced that it will ban the use of facial recognition systems on its devices; Axon supplies 47 of the 69 largest police agencies in the U.S. with body cameras and software. DARPA announces IDAS, the Intent-Defined Adaptive Software (IDAS), in an attempt to reduce the need for manual software modifications. NIST posts the first draft guideline for developing AI technical standards. Elon Musk says that its Neuralink is almost ready for the first human volunteers; Neuralink uses ultra-fine threads that can be implanted into the brain to detect the activity of neurons. And the Bank of England announced that Alan Turing will be on the new Fifty Pounds note. In research, Andy and Dave discuss Pluribus, the latest AI for multiplayer poker from CMU and Facebook AI, which won during a 12-day poker marathon in 6-player no-limit Texas hold’em; the AI runs on two Intel processors and a “modest” 128GB during play.

2-35 Andy and Dave discuss a scathing report on Scotland Yard’s facial recognition software, which researchers at the University of Essex found to have an 81% error rate (but that the Met Police say has an error rate of 0.1%). In related news, Axon announced that it will ban the use of facial recognition systems on its devices; Axon supplies 47 of the 69 largest police agencies in the U.S. ... /AI_2_35.jpg The Shadow of What Is Going to Be (Part 1) News Scathing Report of Scotland Yard’s Facial Recognition Software Story (128 page) Report A Major Police Body Cam Company Just Banned

What Suicide Data for Public Safety Officers Tell Us

/our-media/indepth/2024/04/suicide-data-for-public-safety-officers

The first study of a comprehensive data collection effort on suicides by police and correctional officers shows trends, suggests opportunities for prevention.

Suicide Data for Public Safety Officers The first study of a comprehensive data collection effort on suicides by police and correctional officers shows trends, suggests opportunities for prevention. /images/InDepth/2024/04/casket-flag.webp What Suicide Data for Public Safety Officers Tell Us Jessica Dockstader and Daniel Lawrence Jessica Dockstader is an expert in officer wellness and Daniel ... for collecting and providing these data and collaborating with CNA on the analysis. Police officers are at a greater risk of dying by suicide than the general public, and even more likely to die by suicide

Law Enforcement-Community Engagement

/our-media/indepth/2021/03/law-enforcement-community-engagement

As law enforcement agencies navigate the COVID-19 pandemic and increased calls for social justice, agencies with robust community engagement programs have had more successful public health education efforts.

is a Senior Advisor at CNA. Prior to joining CNA, he worked for the Madison, Wisconsin, Police Department for 25 years. Mr. Woodmansee worked as a patrol officer and an undercover narcotics officer ... Minneapolis Police Department (MPD) officer in Hennepin County sparked social unrest around the world. The pandemic affected law enforcement agencies’ abilities to engage with their communities, forcing them

ai with ai: AI-chemy 2: This Time It's Personal

/our-media/podcasts/ai-with-ai/season-5/5-19

Andy and Dave discuss the latest in AI news and research, including an update from DARPA on its Machine Common Sense program, demonstrating rapidly adapting to changing terrain, carrying dynamic loads, and understanding how to grasp objects [0:55]. The Israeli military fields new tech from Camero-Tech that allows operators to ‘see through walls,’ using pulse-based ultra-wideband micro-power radar in combination with an AI-based algorithm for tracking live targets [5:01]. In autonomous shipping [8:13], the Suzaka, a cargo ship powered by Orca AI, makes a nearly 500-mile voyage “without human intervention” for 99% of the trip; the Prism Courage sails from the Gulf of Mexico to South Korea “controlled mostly” by HiNAS 2.0, a system by Avikus, a subsidiary of Hyundai; and Promare’s and IBM’s Mayflower Autonomous Ship travels from the UK to Nova Scotia. In large language models [10:09], a Chinese research team unveils a 174 trillion parameter model, Bagualu (‘alchemist pot’) and claims it runs an AI model as sophisticated as a human brain (not quite, though); Meta releases the largest open-source AI language model, with OPT-66B, a 66 billion parameter model; and Russia’s Yandex opens its 100 billion parameters YaLM to public access. Researchers from the University of Chicago publish a model that can predict future crimes “one week in advance with about 90% accuracy” (referring to general crime levels, not specific people and exact locations), and also demonstrate the potential effects of bias in police response and enforcement [13:32]. In a similar vein, researchers from Berkeley, MIT, and Oxford publish attempts to forecast future world events using the neural network system Autocast and show that forecasting performance still comes in far below a human expertise baseline [16:37]. Angelo Cangelosi and Minoru Asada provide the (graduate) book of the week, with Cognitive Robotics.

to general crime levels, not specific people and exact locations), and also demonstrate the potential effects of bias in police response and enforcement [13:32]. In a similar vein, researchers from ... public access to AI large language model Research Algorithm predicts crime a week in advance, but reveals bias in police response Nontechnical summary Technical paper

ai with ai: Life Is Like a Box of Matrices

/our-media/podcasts/ai-with-ai/season-3/3-38

Andy and Dave start with COVID-related AI news, and efforts from the Roche Data Science Coalition for UNCOVER (the United Network for COVID-19 Data Exploration and Research), which includes a dataset of a curated collection of over 200 publicly available COVID-19 related datasets; efforts from Akai Kaeru are included. The Biomedical Engineering Society publishes an overview of emerging technologies to combat COVID-19. Zetane Systems uses machine learning to search the DrugVirus database and information from the National Center for Biotechnology to identify existing drugs that might be effective against COVID. And researchers at the Walter Reed Army Institute of Research are using machine learning to narrow down a space of 41 million compounds to identify candidates for further testing. And the IEEE hosted a conference on 9 July, "Does your COVID-19 tracing app follow you forever?" In non-COVID-related AI news, MIT takes offline the TinyImages dataset, due to its inclusion of derogatory terms and images. The second (actually first) wrongful arrest from facial recognition technology (again by the Detroit Police Department) comes to light. Appen Limited releases its annual "State of AI and ML" report, with a look at how businesses are (or aren’t) considering AI technologies. Anaconda releases its 2020 State of Data Science survey results. And the International Baccalaureate Educational Foundation turn to machine learning algorithms to predict student grades, due to COVID-related cancelations of actual testing, and much to the frustration of numerous students and parents. Research from the Vector Institute and the University of Toronto tackles analogy and the Raven Progressive Matrices with an ensemble of three neural networks for objects, attributes, and relationships. Researchers at the University of Sydney and the Imperial College London have established CompEngine, a collection of time-series data (over 24,000 initially) from a variety of fields, and have placed them into a common feature space; CompEngine then self-organizes the information based on empirical properties. Garfinkel, Shevtsov, and Guo make Modeling Life available for free. Meanwhile, Russell and Norvig release the not-so-free 4th Edition of AI: A Modern Approach. Lex Fridman interviews Norvig in a video podcast. And Elias Henriksen creates the Computer Prophet, which generates metaphors from a database of collected sayings.

of derogatory terms and images. The second (actually first) wrongful arrest from facial recognition technology (again by the Detroit Police Department) comes to light. Appen Limited releases its annual ... recognition linked to a 2nd (actually,   1st! ) wrongful arrest by Detroit police Appen Limited Releases its Annual "State of AI and ML" Report Anaconda Releases 2020 State of Data Science Survey

ai with ai: Crime & Publishment

/our-media/podcasts/ai-with-ai/season-3/3-36

It’s a week of huge announcements! But first, in COVID-related AI news, Andy and Dave discuss a review paper in Chaos, Solitons, and Fractals that provides a more international focus on the role of AI and ML in COVID research. CSAIL teams with Ava Robotics to design a robot that maneuver between waypoints and disinfect surfaces of warehouses with UV-C light. C3.ai Digital Transformation Institute awards $5.4M to 26 AI researchers for projects related to COVID-19. In non-COVID news, the Association for Computing Machinery calls for the immediate suspension of facial recognition technologies until more mature and reliable. US lawmakers have introduced a bill that would ban police use of facial recognition, while separate bills seek to increase the AI talent available for the Department of Defense, and work to realign and rewire the JAIC within DOD. Over 2300 researchers sign a petition to Springer Nature to reject a publication from Harrisburg University, which developed facial recognition software to predict whether somebody was going to be a criminal. Meanwhile, researchers from Stanford demonstrate the problem of reproducibility by giving a data set of brain scans to 70 different researcher teams; no two teams chose the same workflow to analyze the data, and the final conclusions showed a sizeable variation. In a similar vein, researchers at Duke University examine the historical record of brain scan research and find poor correlation across experiments. In research, the "best paper" for the Conference on Computer Vision and Pattern Recognition goes to a team from Oxford, who use unsupervised learning methods and symmetry to convert single 2D images into 3D models. Researchers at Uber, the University of Toronto, and MIT use 3D simulated worlds to generate synthetic data for training LiDAR systems on self-driving vehicles. Calum MacKellar makes Cyborg Mind available, a look into the future of cyberneuroethics. And Johns Hopkins prepares for a second seminar on Operationalizing AI in Health.

technologies until more mature and reliable. US lawmakers have introduced a bill that would ban police use of facial recognition, while separate bills seek to increase the AI talent available ... ACM calls for immediate suspension of facial recognition technologies 4 Page Statement New US Bill Would Ban Police Use of Facial Recognition Summary Facial Recognition and Biometric

ai with ai: Gremlin Pie!

/our-media/podcasts/ai-with-ai/season-3/3-14

Happy Pi-cast! Andy and Dave discuss some of the stories that have followed the New York Times articles on Clearview AI, to include Twitter telling the company to stop using its photos, and a consortium of 40 agencies calls on the U.S. government to ban facial recognition systems until more is known about the technology. Meanwhile, London’s Metropolitan Police is rolling out live facial recognition technology. BlueDot says that it used AI and its epidemiologists to send a warning about the Wuhan virus on 31 December 2019, a full week before the US CDC announcement on 6 January 2020. Google releases the largest high-resolution map of the fruit fly’s brain, with 25,000 neurons. DARPA’s Gremlin (X-61A) drone system makes its first test flight. And the Guinness Book of World Records recognizes Stephen Worswick as the most frequent winner (5 times) of the Loebner Prize, for his Mitsuku chatbot. In research, Facebook AI achieves near-perfect (99.9%) navigation without needing a map, testing its algorithm in its AI Habitat. Robert J. Marks makes The Case * for * Killer Robots. The Brookings Institute’s Indermit Gill predicts that the AI leader in 2030 will “rule the planet” until at least 2100. The ACT-IAC releases an AI Playbook, with step-by-step guidance for assessment, readiness, selection, implementation, and integration. Jessica Flack examines the Collective Computation of Reality in Nature and Society. Google’s Dataset Search is out of beta. And DoD will be holding its East Coast AI Symposium and Exposition 29 and 30 April in Crystal City.

Happy Pi-cast! Andy and Dave discuss some of the stories that have followed the New York Times articles on Clearview AI, to include Twitter telling the company to stop using its photos, and a consortium of 40 agencies calls on the U.S. government to ban facial recognition systems until more is known about the technology. Meanwhile, London’s Metropolitan Police is rolling out live facial ... of 40 agencies calls on government to ban Signed letter Class-action lawsuit filed in Illinois London Police to Deploy Facial Recognition Cameras Despite Privacy Concerns     An AI

ai with ai: Hit the Wall: Do Not Play GO (Part I)

/our-media/podcasts/ai-with-ai/season-3/3-10a

Andy and Dave discuss Lee Sodol’s announcement that he is quitting playing Go because AI “cannot be defeated.” Facebook’s Head of AI says the field will soon “hit the wall” (or does he?). A human beats an AI-powered drone during the Drone Racing League’s latest competition. A Boston Dynamics robot dog has joined a Massachusetts bomb squad. And a new US federal bill would constrain some police use of facial recognition tools. A report from CNAS on the American AI Century provides a Blueprint for Action on how to achieve national AI strategy objectives.

police use of facial recognition tools. A report from CNAS on the American AI Century provides a Blueprint for Action on how to achieve national AI strategy objectives. /images/AI-Posters ... New Federal Bill Would Constrain Some Police Use of Facial-Recognition Tools Report of the Week The American AI Century: A Blueprint for Action Executive summary ContactName /*/Contact

ai with ai: A Neural Reading rAInbow

/our-media/podcasts/ai-with-ai/season-2/2-19

Andy and Dave discuss research from Neil Johnson, who looked to the movements of fly larvae to model financial systems, where a collection of agents share a common goal, but have no way to communicate and coordinate their activities (a memory of five past events ends up being the ideal balance). Researchers at Carnegie Mellon demonstrate that random search with early-stopping is a competitive Neural Architecture Search baseline, performing at least as well as “Efficient” NAS. Unrelated research, but near-simultaneously published, from AI Lab Swisscom, shows that random search outperforms state-of-the-art NAS algorithms. Researchers at DeepMind investigate the possibility of creating an agent that can discover its world, and introduce NDIGO (Neural Differential Information Gain Optimization), designed to be “information seeking.” And the Electronics and Telecomm Research Institute in South Korea creates SC-FEGAN, a face-editing GAN that builds off of a user’s sketches and other information. Georgetown University announces a $55M grant to create the Center for Security and Emerging Technology (CSET). Microsoft workers call on the company to cancel its military contract with the U.S. Army. DeepMind uses machine learning to predict wind turbine energy production. Australia’s Defence Department invests ~$5M to study how to make autonomous weapons behave ethically. And the U.K. government invests in its people and funds AI university courses with £115. Reports suggest that U.S. police departments are using biased data to train crime-predicting algorithms. A thesis on Neural Reading Comprehension and Beyond by Danqi Chen becomes highly read. A report looks at the evaluation of citation graphs in AI research, and researchers provide a survey of deep learning for image super-resolution. Bryon Reese blogs that we need new words to adjust to AI (to which Dave adds “AI-chemy” to the list). In Point and Counterpoint, David Sliver argues that AlphaZero exhibits the “essence of creativity,” while Sean Dorrance Kelly argues that AI can’t be an artist. Interpretable Machine Learning by Christoph Molnar hits version 1.0, and Andy highlights Asimov’s classic short story, The Machine that Won the War. And finally, a symposium at Princeton University’s Institute for Advanced Studies examines deep learning – alchemy or science?

government invests in its people and funds AI university courses with £115. Reports suggest that U.S. police departments are using biased data to train crime-predicting algorithms. A thesis on Neural ... Industry Australia’s Defense Department Takes Lead in Ethics Research U.K. Government to Fund AI University Courses With £115m Reports of the Week Police across the US are training

cna talks: The Future of Police Reform

/our-media/podcasts/cna-talks/2020/7/the-future-of-police-reform

On this episode of CNA Talks, Stephen Rickman, Zoë Thorkildsen and Hildy Saizow, discuss the future of police reform in the United States.

The Future of Police Reform On this episode of CNA Talks, Stephen Rickman, Zoë Thorkildsen and Hildy Saizow, discuss the future of police reform in the United States. The Future of Police Reform Biographies Stephen Rickman, MA, is an expert in police-community relations. He has worked for over 20 years in high-level positions in public safety and community support. Zoë Thorkildsen   provides expertise in the areas of criminal justice and policing, program evaluation and research design. Hildy Saizow is a Senior Advisor in CNA’s Center for Justice Research and Innovation