{"id":4357,"date":"2022-01-19T18:15:05","date_gmt":"2022-01-19T18:15:05","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2022\/01\/19\/ambients-computer-vision-detects-dangerous-behaviors-but-raises-privacy-concerns\/"},"modified":"2022-01-19T18:15:05","modified_gmt":"2022-01-19T18:15:05","slug":"ambients-computer-vision-detects-dangerous-behaviors-but-raises-privacy-concerns","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2022\/01\/19\/ambients-computer-vision-detects-dangerous-behaviors-but-raises-privacy-concerns\/","title":{"rendered":"Ambient&#8217;s computer vision detects dangerous behaviors, but raises privacy concerns"},"content":{"rendered":"<p> <a href=\"https:\/\/go.fiverr.com\/visit\/?bta=1052423&nci=17043\" Target=\"_Top\"><img loading=\"lazy\" decoding=\"async\" border=\"0\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/fiverr.ck-cdn.com\/tn\/serve\/?cid=40081059\"  width=\"601\" height=\"201\"><\/a>\n<\/p>\n<div>\n<div id=\"boilerplate_2682874\" class=\"post-boilerplate boilerplate-before\">\n<p><em>Did you miss a session from the Future of Work Summit? Head over to our\u00a0<a href=\"https:\/\/venturebeat.com\/event\/the-future-of-work-summit\/on-demand\/#\/\" data-type=\"URL\" data-id=\"https:\/\/venturebeat.com\/event\/the-future-of-work-summit\/on-demand\/#\/\">Future of Work Summit on-demand library<\/a>\u00a0to stream.<\/em><\/p>\n<hr class=\"wp-block-separator is-style-wide\"\/>\n<\/div>\n<p>Computer vision, a technology that uses algorithms to \u201csee\u201d and evaluate objects, people, and events in the real world, is a rapidly expanding market within the broader AI sector. That\u2019s because the applications are practically limitless, ranging from agricultural crop monitoring to medical diagnostics and driverless vehicle testing. Allied Market Research <a href=\"https:\/\/www.verifiedmarketresearch.com\/product\/ai-in-computer-vision-market\/\">anticipates<\/a> that computer vision product vendors will be worth a combined $144.46 billion by 2028.<\/p>\n<p>Digital transformation in the enterprise, spurred by the pandemic, has further accelerated the growth. For example, Zebra Medical Vision, a computer vision startup focused on health care, was <a href=\"https:\/\/venturebeat.com\/2021\/08\/10\/computer-vision-startup-zebra-medical-vision-sells-for-200m\/\">acquired<\/a> in August 2021 in a deal worth $200 million. Meanwhile, Landing AI has <a href=\"https:\/\/www.google.com\/search?q=landing+ai+raises+venturebeat&amp;oq=landing+ai+raises+venturebeat&amp;aqs=chrome..69i57j69i60.3837j0j7&amp;sourceid=chrome&amp;ie=UTF-8\">secured<\/a> tens of millions for its visual inspection dashboards that enable engineers to train, test, and deploy computer vision to devices such as laptops.<\/p>\n<p>Another rising class of startups \u2014 one focused on analyzing camera and sensor footage \u2014 is attracting significant investment from institutional backers. Ambient is among the newest arrivals \u2014 its computer vision software attempts to detect potentially dangerous situations to alert stakeholder. Launched in 2017, the Palo Alto, California-based company is emerging from stealth with $52 million in venture capital led by Andreessen Horowitz with participation from Y Combinator, Stanford, and others.<\/p>\n<h2>Computer vision for security<\/h2>\n<p>Ambient was cofounded by CEO Shikhar Shrestha, who was previously at Google helping the <a href=\"https:\/\/venturebeat.com\/2016\/05\/19\/google-project-tango-research\/\">Project Tango<\/a> team. Vikesh Khanna, the company\u2019s CTO and other cofounder, worked at Dropbox building data analytics systems.<\/p>\n<p>Ambient grew out of research Shrestha and Khanna did while at Stanford. Powered by what Shrestha calls a \u201ccontext graph,\u201d the platform plugs into CCTV and sensor systems and assesses risk factors when looking at real-time or historical recordings \u2014 namely different location contexts (e.g., the type of space and time of day), behaviors (the movement of an object and object interactions), and objects (people, vehicles, animals, and more).<\/p>\n<p>\u201cI founded Ambientin January 2017 alongside Khanna. However, the inspiration for Ambient came many years before,\u201d Shrestha told VentureBeat via email. \u201cAt 12 years old, I was robbed at gunpoint in a location that was monitored by a security camera. At the time, I was expecting a patrol officer to intervene, which never happened. From that experience, I learned that despite the ubiquity of security cameras in our world, few recordings of incidents lead to real-time response. It made me fascinated with security technology, tinkering with, designing, and building alarm and surveillance systems.\u201d<\/p>\n<div>\n<div id=\"attachment_2750698\" class=\"wp-caption alignnone\" style=\"max-width:800px;\"><img decoding=\"async\" loading=\"lazy\" class=\"size-large wp-image-2750698 jetpack-lazy-image\" alt=\"Ambient\" width=\"800\" height=\"569\" data-recalc-dims=\"1\" data-srcset=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=1440&amp;strip=all 1440w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=300&amp;strip=all 300w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=768&amp;strip=all 768w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=800&amp;resize=800%2C569&amp;strip=all&amp;strip=all 800w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=400&amp;strip=all 400w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=750&amp;strip=all 750w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=578&amp;strip=all 578w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=930&amp;strip=all 930w\" data-lazy-data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=800&amp;is-pending-load=1#038;resize=800%2C569&amp;strip=all\"\/><noscript><img decoding=\"async\" loading=\"lazy\" class=\"size-large wp-image-2750698\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=800&amp;resize=800%2C569&amp;strip=all\" alt=\"Ambient\" width=\"800\" height=\"569\" data-srcset=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=1440&amp;strip=all 1440w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=300&amp;strip=all 300w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=768&amp;strip=all 768w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=800&amp;resize=800%2C569&amp;strip=all&amp;strip=all 800w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=400&amp;strip=all 400w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=750&amp;strip=all 750w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=578&amp;strip=all 578w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-1.png?w=930&amp;strip=all 930w\" data-sizes=\"auto, (max-width: 800px) 100vw, 800px\" data-recalc-dims=\"1\"\/><\/noscript><\/p>\n<p class=\"wp-caption-text\">Above: Ambient\u2019s monitoring dashboard.<\/p>\n<p><em>Image Credit: Ambient<\/em><\/p>\n<\/div>\n<\/div>\n<p>Shrestha asserts that Ambient\u2019s algorithms can identify threats like perimeter breaches and \u201ctailgating\u201d without facial recognition or profiling, as well as learn new behaviors and threats automatically over time. The platform captions videos\u2019 contents ranging from context about what\u2019s taking place to individual actions, like saying \u201cthis is a busy street\u201d or \u201cthere is a man walking.\u201d<\/p>\n<p>\u201cThe four key components of the Ambient platform are video data processing; the detection of objects, events, and context; threat signature evaluation; and prioritization for human intervention,\u201d Shrestha said. \u201cAmbient provides hundreds of threat signatures that customers can deploy out-of-the-box and we\u2019re rapidly adding new threat signatures based on customer requests from the field. Today, we deliver \u2026 over 100 threat signatures [and our funding] will enable us to build on that foundational library to quickly double the number of threat signatures that we deliver in the next year.\u201d<\/p>\n<p>Ambient says it has processed over 20,000 hours of video from its customers, which it claims include five of the top 10 U.S. tech brands by market capitalization as well as \u201ca number of\u201d Fortune 500 companies.<\/p>\n<p>\u201cOur customers currently span a wide variety of industry verticals including education, finance, manufacturing, media and entertainment, retail, real-estate and residential security, and technology,\u201d Shrestha added. \u201cWe intend to expand our penetration of the enterprise market into a wide range of industries and types of buildings, from corporate campuses to datacenters, schools, and museums.\u201d<\/p>\n<h2>Potential challenges<\/h2>\n<p>Like most computer vision systems, Ambient\u2019s are trained on a combination of open source datasets and in-house generated images and videos showing examples of people, places, and things. The company claims that it takes steps to ensure that the dataset is sufficiently diverse, but history has shown that <a href=\"https:\/\/venturebeat.com\/2020\/06\/01\/microsoft-researchers-say-nlp-bias-studies-must-consider-role-of-social-hierarchies-like-racism\/\">bias<\/a> can creep into even the best-designed models.<\/p>\n<p>For example, previous research has found that large, publicly available image datasets are U.S.- and Euro-centric, encoding humanlike <a href=\"https:\/\/venturebeat.com\/2020\/07\/15\/mit-researchers-find-systematic-shortcomings-in-imagenet-data-set\/\">biases<\/a> about race, ethnicity, gender, weight, and more. Flaws can arise from other sources, like differences in sun paths between the northern and southern hemispheres and variations in background scenery. Studies show that particular <a href=\"https:\/\/arxiv.org\/abs\/2007.08574\">camera models<\/a> can cause an algorithm to be less effective in classifying objects that it was trained to detect. Even <a href=\"https:\/\/arxiv.org\/abs\/1911.09071\">architectural design choices<\/a> in algorithms can contribute to biased classifications.<\/p>\n<p>These biases can lead to real-world harm. ST Technologies\u2019 facial recognition and weapon-detecting platform was found to misidentify Black children at a higher rate and <a href=\"https:\/\/www.vice.com\/en\/article\/qjpkmx\/fac-recognition-company-lied-to-school-district-about-its-racist-tech\">frequently mistook broom handles for guns<\/a>. Meanwhile, Walmart\u2019s AI- and camera-based anti-shoplifting technology, which is provided by\u00a0<a href=\"https:\/\/venturebeat.com\/2021\/01\/23\/cashierless-tech-could-detect-shoplifting-but-bias-concerns-abound\/\">Everseen<\/a>, came under scrutiny over its <a href=\"https:\/\/arstechnica.com\/tech-policy\/2020\/05\/walmart-employees-are-out-to-show-its-anti-shoplifting-ai-doesnt-work\/?comments=1\">reportedly<\/a> poor detection rates. Facial recognition software used by the Detroit police <a href=\"https:\/\/www.washingtonpost.com\/technology\/2021\/04\/13\/facial-recognition-false-arrest-lawsuit\/\">falsely identified<\/a> a Black man as a shoplifter. And Google\u2019s Cloud Vision API at one time <a href=\"https:\/\/algorithmwatch.org\/en\/story\/google-vision-racism\/\">labeled<\/a> thermometers held by Black people as \u201cguns\u201d while labeling thermometers held by light-skinned subjects as \u201celectronic devices.\u201d<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-large wp-image-2750695 aligncenter jetpack-lazy-image\" alt=\"Ambient\" width=\"800\" height=\"569\" data-recalc-dims=\"1\" data-srcset=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=1440&amp;strip=all 1440w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=300&amp;strip=all 300w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=768&amp;strip=all 768w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=800&amp;resize=800%2C569&amp;strip=all&amp;strip=all 800w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=400&amp;strip=all 400w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=750&amp;strip=all 750w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=578&amp;strip=all 578w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=930&amp;strip=all 930w\" data-lazy-data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=800&amp;is-pending-load=1#038;resize=800%2C569&amp;strip=all\"\/><\/p>\n<p><noscript><img decoding=\"async\" loading=\"lazy\" class=\"size-large wp-image-2750695 aligncenter\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=800&amp;resize=800%2C569&amp;strip=all\" alt=\"Ambient\" width=\"800\" height=\"569\" data-srcset=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=1440&amp;strip=all 1440w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=300&amp;strip=all 300w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=768&amp;strip=all 768w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=800&amp;resize=800%2C569&amp;strip=all&amp;strip=all 800w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=400&amp;strip=all 400w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=750&amp;strip=all 750w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=578&amp;strip=all 578w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-4.png?w=930&amp;strip=all 930w\" data-sizes=\"auto, (max-width: 800px) 100vw, 800px\" data-recalc-dims=\"1\"\/><\/noscript><\/p>\n<p>\u201cThis technology, which tends to involve object and behavior recognition, is far from accurate,\u201d Jennifer Lynch, surveillance litigation director at the Electronic Frontier Foundation, <a href=\"https:\/\/www.fastcompany.com\/90594180\/capitol-gun-detection-ai-zeroeyes-omnilert\">told<\/a> Fast Company in a recent interview about gun-detecting AI technologies.<\/p>\n<p>Ambient says that the data it uses to train its video processing algorithm is annotated using crowdsourcing services before being fed into the system. But <a href=\"https:\/\/venturebeat.com\/2021\/07\/08\/data-labeling-for-ai-research-is-highly-inconsistent-study-finds\/\">labels<\/a>, the annotations from which many computer vision models learn relationships in data, also bear the hallmarks of data imbalance. Annotators <a href=\"https:\/\/venturebeat.com\/2021\/02\/04\/the-ai-industry-is-built-on-geographic-and-social-inequality-research-shows\/\">bring<\/a>\u00a0<a href=\"https:\/\/venturebeat.com\/2021\/12\/09\/how-bias-creeps-into-the-ai-designed-to-detect-toxicity\/\">their own biases<\/a> and shortcomings to the table, which can translate to imperfect annotations. For example, some labelers for MIT\u2019s and NYU\u2019s 80 Million Tiny Images dataset contributed racist, sexist, and otherwise <a href=\"https:\/\/venturebeat.com\/2020\/07\/01\/mit-takes-down-80-million-tiny-images-data-set-due-to-racist-and-offensive-content\/\">offensive<\/a> annotations, including nearly 2,000 images labeled with the N-word and labels such as \u201crape suspect\u201d and \u201cchild molester.\u201d<\/p>\n<p>In 2019,\u00a0<em>Wired<\/em>\u00a0<a href=\"http:\/\/cur.at\/whzqA4T?m=web\">reported<\/a> on the susceptibility of platforms like Amazon Mechanical Turk \u2014 where many researchers and companies recruit annotators \u2014 to automated bots. Even when the crowdworkers <em>are<\/em> verifiably human, they\u2019re motivated by pay rather than interest, which can result in low-quality data \u2014 particularly when they\u2019re treated poorly and paid a below-market <a href=\"https:\/\/quote.ucsd.edu\/lirani\/projects\/turkopticon-reconfiguring-crowdsourcing\/\">rate<\/a>. Being human, annotators naturally also make mistakes \u2014 sometimes major ones. In an MIT <a href=\"https:\/\/venturebeat.com\/2021\/03\/28\/mit-study-finds-systematic-labeling-errors-in-popular-ai-benchmark-datasets\/\">analysis<\/a> of popular benchmarks including ImageNet, the researchers found mislabeled images, like one breed of dog being confused for another.<\/p>\n<p>Shrestha claims that Ambient\u2019s technology minimizes bias by taking a \u201csystem training\u201d approach to computer vision. \u201cSystem-level blocks\u201d control which task an individual computer vision model is focused on and optimize the model for that narrow task, he says, so that a single model isn\u2019t making the final decision.<\/p>\n<p>\u201c[W]e\u2019re breaking the problem down to system-level blocks which have very tightly described inferences. For example, [one] human interaction block can detect one of these 10 interactions, [while] this scene element block can detect one of these 20 scene elements,\u201d Shrestha added. \u201cThis architecture means that we are not asking data labelers to label based on unstructured assumptions. In our architecture, models have structured outputs associated with specific tasks. Examples would be: detect a person, a car, the color of a shirt, an interaction between people and a car. These structured outputs constrain the labeler appropriately so that they can not respond with an arbitrary label and bias the model.\u201d<\/p>\n<h2>Data privacy and surveillance<\/h2>\n<p>Anticipating that some customers might be wary of granting a vendor like Ambient access to CCTV footage, the company attempts to allay concerns in its terms of service agreement. Ambient reserves the right to use only \u201caggregated, de-identified data\u201d from customers to improve, test, and market its services and claims that it doesn\u2019t use any sensitive customer data uploaded to its platform for these purposes.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"size-large wp-image-2750697 aligncenter jetpack-lazy-image\" alt=\"Ambient\" width=\"800\" height=\"569\" data-recalc-dims=\"1\" data-srcset=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=1440&amp;strip=all 1440w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=300&amp;strip=all 300w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=768&amp;strip=all 768w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=800&amp;resize=800%2C569&amp;strip=all&amp;strip=all 800w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=400&amp;strip=all 400w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=750&amp;strip=all 750w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=578&amp;strip=all 578w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=930&amp;strip=all 930w\" data-lazy-data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=800&amp;is-pending-load=1#038;resize=800%2C569&amp;strip=all\"\/><\/p>\n<p><noscript><img decoding=\"async\" loading=\"lazy\" class=\"size-large wp-image-2750697 aligncenter\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=800&amp;resize=800%2C569&amp;strip=all\" alt=\"Ambient\" width=\"800\" height=\"569\" data-srcset=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=1440&amp;strip=all 1440w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=300&amp;strip=all 300w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=768&amp;strip=all 768w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=800&amp;resize=800%2C569&amp;strip=all&amp;strip=all 800w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=400&amp;strip=all 400w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=750&amp;strip=all 750w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=578&amp;strip=all 578w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-2.png?w=930&amp;strip=all 930w\" data-sizes=\"auto, (max-width: 800px) 100vw, 800px\" data-recalc-dims=\"1\"\/><\/noscript><\/p>\n<p>\u201cOur product has been architected from day one for data minimization. Essentially, this means that we eliminate personally identifiable information from our data collection efforts,\u201d Shrestha said. \u201cRaw video data is not processed by Ambient computer vision algorithms. Instead, the algorithms only process raw footage metadata [and not] facial attributes, gender attributes, or identifiers of race. This comes with significant constraints. For example, we will not offer facial recognition analysis as part of our solution because it is impossible to deliver facial recognition without collecting and processing.\u201d<\/p>\n<p>Ambient doesn\u2019t make it clear in its terms of service under what circumstances it\u2019ll release customer data, such as when requested by law enforcement or served a subpoena. The company also doesn\u2019t say how long it retains data \u2014 only that the data \u201cmay be irretrievably deleted\u201d if a customer\u2019s account is terminated.<\/p>\n<p>\u201cWe are committed to working with our customers to ensure that their use of the product is consistent with the requirements of applicable privacy and data protection laws,\u201d Shrestha said. \u201cWe have strong technical controls in the product that limit both what the product can do and who has access to the product, [and] we\u2019re committed to putting appropriate technical constraints in place in the interest of preventing potential harm.\u201d<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-large wp-image-2750696 jetpack-lazy-image\" alt=\"Ambient\" width=\"800\" height=\"569\" data-recalc-dims=\"1\" data-srcset=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=1440&amp;strip=all 1440w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=300&amp;strip=all 300w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=768&amp;strip=all 768w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=800&amp;resize=800%2C569&amp;strip=all&amp;strip=all 800w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=400&amp;strip=all 400w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=750&amp;strip=all 750w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=578&amp;strip=all 578w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=930&amp;strip=all 930w\" data-lazy-data-sizes=\"(max-width: 800px) 100vw, 800px\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=800&amp;is-pending-load=1#038;resize=800%2C569&amp;strip=all\"\/><\/p>\n<p><noscript><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-large wp-image-2750696\" src=\"https:\/\/mailinvest.blog\/wp-content\/themes\/breek\/assets\/images\/transparent.gif\" data-lazy=\"true\" data-src=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=800&amp;resize=800%2C569&amp;strip=all\" alt=\"Ambient\" width=\"800\" height=\"569\" data-srcset=\"https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=1440&amp;strip=all 1440w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=300&amp;strip=all 300w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=768&amp;strip=all 768w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=800&amp;resize=800%2C569&amp;strip=all&amp;strip=all 800w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=400&amp;strip=all 400w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=750&amp;strip=all 750w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=578&amp;strip=all 578w, https:\/\/venturebeat.com\/wp-content\/uploads\/2022\/01\/Product-Graphic-3.png?w=930&amp;strip=all 930w\" data-sizes=\"auto, (max-width: 800px) 100vw, 800px\" data-recalc-dims=\"1\"\/><\/noscript><\/p>\n<p>It\u2019s not just users that might be concerned about Ambient\u2019s AI-powered technology. Privacy advocates worry that systems like it \u2014 including from <a href=\"https:\/\/venturebeat.com\/2019\/10\/08\/umbo-computer-vision-raises-8-million-for-ai-powered-video-security\/\">Umbo<\/a>, <a href=\"https:\/\/venturebeat.com\/2020\/03\/03\/deep-sentinel-nationwide-investment-business-security-service\/\">Deep Sentinel<\/a>, and other vendors \u2014 could be coopted for less humanitarian intents, potentially <a href=\"https:\/\/theconversation.com\/workplaces-are-turning-to-devices-to-monitor-social-distancing-but-does-the-tech-respect-privacy-139825\">normalizing<\/a> greater levels of surveillance.<\/p>\n<p>In the U.S., each state has its own surveillance laws, but most give wide discretion to employers so long as the equipment they use to track employees is visible or disclosed in writing. There\u2019s also no federal legislation that explicitly prohibits companies from video recording staff during the workday.<\/p>\n<p>\u201cSome of these techniques can be helpful but there are huge privacy issues when systems are designed to capture identity and make a determination based on personal data,\u201d Marc Rotenberg, president of the Electronic Privacy Information Center, <a href=\"https:\/\/phys.org\/news\/2017-11-privacy-artificial-intelligence-crimestopper.html\">told<\/a> Phys.org in an interview.\u00a0\u201cThat\u2019s where issues of secret profiling, bias and accuracy enter the picture.\u201d<\/p>\n<div id=\"boilerplate_2660155\" class=\"post-boilerplate boilerplate-after\">\n<h3>VentureBeat<\/h3>\n<p>VentureBeat&#8217;s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative technology and transact.<\/p>\n<p>Our site delivers essential information on data technologies and strategies to guide you as you lead your organizations. 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Head over to our\u00a0Future of Work Summit on-demand library\u00a0to stream. Computer vision, a technology&#8230;<\/p>\n","protected":false},"author":1,"featured_media":4358,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-4357","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-universe"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Ambient&#039;s computer vision detects dangerous behaviors, but raises privacy concerns - mailinvest.blog<\/title>\n<meta name=\"description\" content=\"Technology is forever changing, and there are always new pieces of technology to replace obsolete ones. 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