{"id":32914,"date":"2023-07-21T11:34:21","date_gmt":"2023-07-21T18:34:21","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=32914"},"modified":"2023-07-28T09:38:37","modified_gmt":"2023-07-28T16:38:37","slug":"the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/","title":{"rendered":"The White House Meets with 7 Big Tech Companies &#8211; Releases Commitments on Managing AI"},"content":{"rendered":"\n<p>The White House has just announced that it accepted pledges from a number of high-profile tech companies for the safe development of AI. The Fact Sheet for today&#8217;s meeting can be found&nbsp;<a href=\"https:\/\/www.whitehouse.gov\/briefing-room\/statements-releases\/2023\/07\/21\/fact-sheet-biden-harris-administration-secures-voluntary-commitments-from-leading-artificial-intelligence-companies-to-manage-the-risks-posed-by-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">here.<\/a> Seven companies \u2014 Google, Microsoft, Meta, Amazon, OpenAI, Anthropic and Inflection \u2014 convened at the White House today to announce the voluntary agreements. Here are President Biden&#8217;s comments after the meeting:<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Live: Biden gives speech on AI after meeting with Amazon, Google and Meta executives\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/pkQepkjhS8U?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>Here are a couple of commentaries we received from our friends in the big data ecosystem:<\/p>\n\n\n\n<p><strong>Commentary by&nbsp;Anita&nbsp;Schj\u00f8ll Abildgaard, CEO and co-founder of&nbsp;<a href=\"https:\/\/iris.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Iris.ai<\/a><\/strong><\/p>\n\n\n\n<p><em><strong>\u201c<\/strong>With all emerging technology, the establishment of clear legal frameworks is necessary to ensure the technology is used safely and fairly. The requirement of developers to publish the authors of material used in chatbot training is an important measure for making sure that authors are accredited, and the protections against overt surveillance have obvious benefits.<\/em><\/p>\n\n\n\n<p><em>More regulation is coming, and the development of AI models has a role to play. Transparency into how the models work will be crucial in promoting trust and accountability, while making sure regulation is being adhered to. Another key aspect is explainability. AI systems that provide understandable explanations for their decisions will not only enhance transparency but also help to combat the biases in some models and prevent discriminatory practices from taking place.<\/em><\/p>\n\n\n\n<p><em>It is important to recognize that AI governance is a complex and evolving field. The genie is already out of the bottle, and while regulators catch up with this hugely powerful technology, organizations developing AI can help to make sure its potential is harnessed for the benefit of everyone.&#8221;<\/em><\/p>\n\n\n\n<p><strong>Commentary by Aaron Mendes, CEO of&nbsp;<a href=\"https:\/\/www.privacyhawk.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">PrivacyHawk<\/a>&nbsp;<\/strong><\/p>\n\n\n\n<p><em>\u201cIt\u2019s nice to see big tech pledging to be responsible with AI. This move by the White House primarily helps with misinformation. Now we need more commitments to help protect consumers from the dangers of AI, particularly how their privacy can be violated, and personal data can be used for scams, fraud, and other cybercrimes. Even if they do some work on protecting consumers, it\u2019s still important for individuals to reduce their digital footprint before it\u2019s too late. Once malicious AI models have gobbled up all of our publicly available personal data, it\u2019s too late to take it back.\u201d<\/em><\/p>\n\n\n\n<p><strong>Commentary by Dan Schiappa, CPO of Arctic Wolf<\/strong><\/p>\n\n\n\n<p><em>\u201cIt is positive to see the top leaders in AI working closely to align on standards and ethical commitments at this point in the AI boom. AI development is happening at warp speed, and any amount of delay from regulators could be detrimental from a cybersecurity perspective. With the heavy emphasis on security testing and risk management in these standards, it\u2019s safe to say that there is greenfield opportunity for cybersecurity leaders to follow suit and work hand in hand with AI leaders to accelerate innovation safely and faster than potential threats. <\/em>&nbsp;<\/p>\n\n\n\n<p><em>It is important to note that the cybersecurity industry can play an integral role in identifying efforts to circumvent these standards and I hope this will lead to a great partnership between both AI and cybersecurity industries. While we know it\u2019s illegal to conduct cybersecurity attacks, they still continue to happen and affect organizations of all industries and sizes. So, while standards keep well-intentioned organizations in control, it will not prohibit other from using this technology without us. Nevertheless, I believe this is a step in the right direction.&#8221;<\/em><\/p>\n\n\n\n<p><strong>Commentary by Jacob Beswick, Director of AI Governance Solutions at&nbsp;<a href=\"https:\/\/www.dataiku.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Dataiku<\/a><\/strong><\/p>\n\n\n\n<p><em>&#8220;We&#8217;re encouraged to see the steps the Biden Administration has taken on AI safety, security, and trust. While these voluntary commitments are a first step, there is certainly more to be considered and acted on, including how the identified risks will propagate across value chains and not just with the developers of these technologies. Setting expectations and proposing relevant actions across value chains, from organizations developing, to organizations and individuals operationalizing the models of interest to organizations and individuals consuming outputs of these models, is critical to ensuring the three principles are meaningfully achieved.&#8221;<\/em><\/p>\n\n\n\n<p><strong>Commentary by Shane Orlick, President at&nbsp;<a href=\"https:\/\/www.jasper.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Jasper<\/a><\/strong><\/p>\n\n\n\n<p><em>\u201cAI will affect all aspects of life and society\u2014and with any technology this comprehensive, the government must play a role in protecting us from unintended consequences and establishing a single source of truth surrounding the important questions these new innovations create: including what the parameters around safe AI actually are. The Administration\u2019s recent actions are promising, but it\u2019s essential to deepen engagement between government and innovators over the long term to put and keep ethics at the center of AI, deepen and sustain trust over the inevitable speed bumps, and ultimately ensure AI is a force for good. That also includes ensuring that regulations aren\u2019t defusing competition creating a new generation of tech monopolies \u2014 and instead invites all of the AI community to responsibly take part in this societal transformation.\u201d<\/em><\/p>\n\n\n\n<p><strong>Commentary by Ivan Ostojic,&nbsp;Chief Business Officer&nbsp;of <a href=\"https:\/\/www.infobip.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Infobip<\/a>&nbsp;<\/strong><\/p>\n\n\n\n<p><em>\u201cPrivate companies should experiment with caution. Regulators are still trying to wrap their heads around the technology. The pace of the regulation is slow, even though the pace of technology we see changes every day. So a precedent must be set for the industry to move forward with consideration and caution. Sam Altman&#8217;s testimony before Congress highlighted the need for responsible regulation and the potential impact of AI on jobs and democracy. Such as guidelines for ethical use, control mechanisms for certain contexts, reskilling policies, and regulations related to user data and democracy.\u201d<\/em><\/p>\n\n\n\n<p><strong>Commentary by Nitzan Shaer, co-Founder and CEO of&nbsp;<a href=\"https:\/\/wevo.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">WEVO<\/a><\/strong><\/p>\n\n\n\n<p><em>\u201cThe promise of AI holds deep ramifications for the consumer internet, and the experience we have every day in an increasingly AI-driven world. While these developments recognize the potential of AI, the commitments also highlight the importance of reliable and responsible user testing, in order to address bias and discrimination. While AI\u2019s transformative impact on our daily lives is all but inevitable, we must embrace responsible use of the technology by prioritizing safeguards and guardrails to maximize its potential while mitigating risks. For instance, Alphabet\u2019s new tool to help journalists is validation for widely accepted forecasts that AI could generate the majority of the internet\u2019s content within a decade. Given this explosion it is crucial we remain vigilant about vetting information produced by AI for accuracy and relevancy and always put the end user first, prioritizing their experience while minimizing bias. That is why at WEVO, we combine AI-driven insights with human intelligence to provide unbiased feedback that cuts through the noise and resonates with your target audiences, while avoiding the negative consequences of letting untested AI determine user experience.\u201d<\/em><\/p>\n\n\n\n<p><strong>Commentary by Bhavin Shah, CEO &amp; co-founder at\u00a0<a href=\"https:\/\/www.moveworks.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Moveworks<\/a><\/strong><\/p>\n\n\n\n<p><em>\u201cMost everyone agrees that there needs to be some form of regulation in AI \u2013 it\u2019s synonymous with safety. The challenge is that there is endless nuance when it comes to AI. Current attempts at regulating the space lack the specificity needed to provide impactful guardrails while still leaving room for true AI innovation. Given the complexities of AI technology, there isn\u2019t one clear path to enforcing these regulations, however, it\u2019s important that our representatives are educated enough on the space to ask the right questions. Is the main goal to protect consumers? Are we trying to regulate the technology itself, like large language models or transformer models? Or are we trying to protect data? Without this level of detail, innovation, investing, and even hiring will be stifled. Thus far, the White House has issued blanket regulations that lack the level of comprehension needed to keep up with the current pace of innovation.\u201d\u00a0<\/em><\/p>\n\n\n\n<p><em>Sign up for the free insideBIGDATA\u00a0<a href=\"http:\/\/inside-bigdata.com\/newsletter\/\" target=\"_blank\" rel=\"noreferrer noopener\">newsletter<\/a>.<\/em><\/p>\n\n\n\n<p><em>Join us on Twitter:&nbsp;<a href=\"https:\/\/twitter.com\/InsideBigData1\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on LinkedIn:&nbsp;<a href=\"https:\/\/www.linkedin.com\/company\/insidebigdata\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.linkedin.com\/company\/insidebigdata\/<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on Facebook:&nbsp;<a href=\"https:\/\/www.facebook.com\/insideBIGDATANOW\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.facebook.com\/insideBIGDATANOW<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The White House has just announced that that it accepting pledges from a number of high-profile tech companies for the safe development of AI. The Fact Sheet for today&#8217;s meeting can be found\u00a0here. Seven companies \u2014 Google, Microsoft, Meta, Amazon, OpenAI, Anthropic and Inflection \u2014 convened at the White House today to announce the voluntary agreements. <\/p>\n","protected":false},"author":10513,"featured_media":32633,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,182,180,73,67,268,56,97,1,85],"tags":[437,324,374,96,124],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The White House Meets with 7 Big Tech Companies - Releases Commitments on Managing AI - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The White House Meets with 7 Big Tech Companies - Releases Commitments on Managing AI - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"The White House has just announced that that it accepting pledges from a number of high-profile tech companies for the safe development of AI. The Fact Sheet for today&#039;s meeting can be found\u00a0here. Seven companies \u2014 Google, Microsoft, Meta, Amazon, OpenAI, Anthropic and Inflection \u2014 convened at the White House today to announce the voluntary agreements.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-21T18:34:21+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-07-28T16:38:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/Industry_Perspectives_shutterstock_1127578655_special.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1100\" \/>\n\t<meta property=\"og:image:height\" content=\"550\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/\",\"url\":\"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/\",\"name\":\"The White House Meets with 7 Big Tech Companies - Releases Commitments on Managing AI - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2023-07-21T18:34:21+00:00\",\"dateModified\":\"2023-07-28T16:38:37+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"The White House Meets with 7 Big Tech Companies &#8211; Releases Commitments on Managing AI\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\",\"name\":\"Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"caption\":\"Editorial Team\"},\"sameAs\":[\"http:\/\/www.insidebigdata.com\"],\"url\":\"https:\/\/insidebigdata.com\/author\/editorial\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"The White House Meets with 7 Big Tech Companies - Releases Commitments on Managing AI - insideBIGDATA","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/","og_locale":"en_US","og_type":"article","og_title":"The White House Meets with 7 Big Tech Companies - Releases Commitments on Managing AI - insideBIGDATA","og_description":"The White House has just announced that that it accepting pledges from a number of high-profile tech companies for the safe development of AI. The Fact Sheet for today's meeting can be found\u00a0here. Seven companies \u2014 Google, Microsoft, Meta, Amazon, OpenAI, Anthropic and Inflection \u2014 convened at the White House today to announce the voluntary agreements.","og_url":"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2023-07-21T18:34:21+00:00","article_modified_time":"2023-07-28T16:38:37+00:00","og_image":[{"width":1100,"height":550,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/Industry_Perspectives_shutterstock_1127578655_special.jpg","type":"image\/jpeg"}],"author":"Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@insideBigData","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Editorial Team","Est. reading time":"7 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/","url":"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/","name":"The White House Meets with 7 Big Tech Companies - Releases Commitments on Managing AI - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2023-07-21T18:34:21+00:00","dateModified":"2023-07-28T16:38:37+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2023\/07\/21\/the-white-house-meets-with-7-big-tech-companies-releases-commitments-on-managing-ai\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"The White House Meets with 7 Big Tech Companies &#8211; Releases Commitments on Managing AI"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9","name":"Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","caption":"Editorial Team"},"sameAs":["http:\/\/www.insidebigdata.com"],"url":"https:\/\/insidebigdata.com\/author\/editorial\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/Industry_Perspectives_shutterstock_1127578655_special.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-8yS","jetpack-related-posts":[{"id":33705,"url":"https:\/\/insidebigdata.com\/2023\/10\/22\/generative-ai-redefining-the-economics-of-software-development\/","url_meta":{"origin":32914,"position":0},"title":"Generative AI: Redefining the Economics of Software Development","date":"October 22, 2023","format":false,"excerpt":"Generative AI technology offers a wide range of vertical use cases for software companies, high-tech firms, ISVs, and DNBs to meet efficiency demands and expedite workflows. In fact, a new research study, \"Generative AI: Redefining the Economics of Software Development,\" from our friends at SoftServe shows\u00a0Open AI\u2019s Generative AI can\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/08\/Generative_AI_shutterstock_2273007347_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":23043,"url":"https:\/\/insidebigdata.com\/2019\/08\/01\/how-companies-can-be-ethical-with-ai\/","url_meta":{"origin":32914,"position":1},"title":"How Companies Can be Ethical with AI","date":"August 1, 2019","format":false,"excerpt":"One big question in the industry these days is about the safeguards companies can take to ensure their AI is fair and ethical. Stakeholders are trying to determine how enterprises can ensure that their employees, investors and customers trust their AI technology. With AI advancing at the incredible rate that\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/03\/Artificial_intelligence_safe_5.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":33782,"url":"https:\/\/insidebigdata.com\/2023\/11\/02\/heard-on-the-street-11-2-2023\/","url_meta":{"origin":32914,"position":2},"title":"Heard on the Street \u2013 11\/2\/2023","date":"November 2, 2023","format":false,"excerpt":"Welcome to insideBIGDATA\u2019s \u201cHeard on the Street\u201d round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22376,"url":"https:\/\/insidebigdata.com\/2019\/03\/28\/how-freelancing-offers-a-solution-for-the-ai-and-data-science-talent-shortage\/","url_meta":{"origin":32914,"position":3},"title":"How Freelancing Offers a Solution for the AI and Data Science Talent Shortage","date":"March 28, 2019","format":false,"excerpt":"In this special guest feature, Pedro Alves Nogueira, Ph.D., Head of Artificial Intelligence and Data Science and a Director of Engineering at Toptal, observes that due to the low supply of AI professionals, competition to secure available talent is fierce. The hiring of AI specialists and data scientists is primarily\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":34048,"url":"https:\/\/insidebigdata.com\/2023\/12\/02\/pwcs-2023-emerging-technology-survey\/","url_meta":{"origin":32914,"position":4},"title":"PwC\u2019s 2023 Emerging Technology Survey","date":"December 2, 2023","format":false,"excerpt":"Our friends over at PwC released its\u00a02023 Emerging Technology Survey, unveiling the seismic impact emerging technologies have on top-performing companies and highlighting the critical role of AI in driving business model reinvention and long-term innovation.\u00a0\u00a0","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/Industry_Perspectives_shutterstock_1127578655_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":24705,"url":"https:\/\/insidebigdata.com\/2020\/07\/08\/special-report-the-state-of-ai-and-machine-learning\/","url_meta":{"origin":32914,"position":5},"title":"Special Report: The State of AI and Machine Learning","date":"July 8, 2020","format":false,"excerpt":"Appen Limited, a leading provider of high-quality training data for organizations that build effective AI systems at scale, released its annual State of AI Report for 2020. The report highlights increasing C-suite involvement and investment in enterprise AI projects as well as data being a key challenge as AI models\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2020\/07\/Appen_State_of_AI_report.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/32914"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=32914"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/32914\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/32633"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=32914"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=32914"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=32914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}