{"id":61021,"date":"2023-04-28T11:31:01","date_gmt":"2023-04-28T10:31:01","guid":{"rendered":"https:\/\/aicongress.barcelona\/xpai\/"},"modified":"2023-07-11T12:14:04","modified_gmt":"2023-07-11T11:14:04","slug":"xpai","status":"publish","type":"post","link":"https:\/\/aicongress.barcelona\/en\/xpai\/","title":{"rendered":"11.45h to 12.45h <br>Explicability and trust, keys to scaling AI"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_section][vc_row css=&#8221;.vc_custom_1681910300131{padding-bottom: 30px !important;}&#8221;][vc_column]<div id=\"ultimate-heading-20546aa67338c72d8\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-20546aa67338c72d8 uvc-4494  uvc-heading-default-font-sizes\" data-hspacer=\"line_only\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-20546aa67338c72d8 h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;color:#4383ce;\">Explicability and trust, keys to scaling AI<\/h2><\/div><div class=\"uvc-heading-spacer line_only\" style=\"topheight:1px;\"><span class=\"uvc-headings-line\" style=\"border-style:solid;border-bottom-width:1px;border-color:#4383ce;width:100px;\"><\/span><\/div><div class=\"uvc-sub-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-20546aa67338c72d8 .uvc-sub-heading '  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"font-weight:normal;\"><\/p>\n<h3><strong>28 September 2023 | <\/strong><strong>11.45<\/strong><strong>h to 12.45h<\/strong><\/h3>\n<p><\/div><\/div>[\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221; bg_type=&#8221;bg_color&#8221; bg_color_value=&#8221;#ededed&#8221; css=&#8221;.vc_custom_1681913912294{padding-top: 30px !important;padding-bottom: 30px !important;}&#8221;][vc_column][vc_row_inner][vc_column_inner][vc_column_text]<\/p>\n<h4><span data-contrast=\"none\">To achieve the scaling adoption of AI-based solutions, we must build trust with users. The explicability of AI is key to this relationship, since it can elucidate decisions made by models and offers additional valuable information. It is also crucial to obtaining auditable algorithms.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h4>\n<h4><span data-contrast=\"none\">In this session, we will see the latest developments and examples of techniques that further the explicability of AI aimed at moving towards reliable and less opaque use.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h4>\n<p>&nbsp;<\/p>\n<h4>Presenta:<\/h4>\n<ul>\n<li>\n<h4>Gemma Batlle, Business Development Manager, Eurecat<\/h4>\n<\/li>\n<\/ul>\n<h4>Participates:<\/h4>\n<ul>\n<li>\n<h4><strong>Ricardo Moya, Technological Specialist in Artificial Intelligence &amp; Big Data of Telef\u00f3nica I+D<\/strong><\/h4>\n<\/li>\n<li>\n<h4>Karina Gibert, professor, director of IDEAI and dean of the COEINF<\/h4>\n<\/li>\n<li>\n<h4>Joan Vidal, Director de Risk Analytics of CaixaBank<\/h4>\n<\/li>\n<li>\n<h4>Javier Matamoros, Arquitecto IA of CaixaBank Tech<\/h4>\n<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_row_inner][vc_column_inner][vc_empty_space]<div id=\"ultimate-heading-89146aa67338c73ad\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-89146aa67338c73ad uvc-8408  uvc-heading-default-font-sizes\" data-hspacer=\"line_only\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-89146aa67338c73ad h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;\">Speakers<\/h2><\/div><div class=\"uvc-heading-spacer line_only\" style=\"topheight:1px;\"><span class=\"uvc-headings-line\" style=\"border-style:solid;border-bottom-width:1px;border-color:#4383ce;width:100px;\"><\/span><\/div><\/div>[vc_empty_space][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_row_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_empty_space][vc_single_image image=&#8221;61632&#8243; img_size=&#8221;full&#8221;][vc_empty_space][vc_column_text]<\/p>\n<p style=\"text-align: center;\"><strong><a href=\"https:\/\/www.telefonica.com\/es\/\" target=\"_blank\" rel=\"noopener\">www.telefonica.com<\/a><\/strong><\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;3\/4&#8243;][vc_empty_space]<div id=\"ultimate-heading-75736aa67338c744b\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-75736aa67338c744b uvc-5990  uvc-heading-default-font-sizes\" data-hspacer=\"line_only\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-75736aa67338c744b h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;\">RICARDO MOYA<\/h2><\/div><div class=\"uvc-heading-spacer line_only\" style=\"topheight:1px;\"><span class=\"uvc-headings-line\" style=\"border-style:solid;border-bottom-width:1px;border-color:#4383ce;width:100px;\"><\/span><\/div><div class=\"uvc-sub-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-75736aa67338c744b .uvc-sub-heading '  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"font-weight:normal;\"><\/p>\n<h4>Technological Specialist in Artificial Intelligence &amp; Big Data of Telef\u00f3nica I+D<\/h4>\n<p><\/div><\/div>[vc_column_text]PhD in Computer Science and Technology and Computer Engineer from the UPM, specializing in Artificial Intelligence. He is currently employed at Telef\u00f3nica I + D as a Technological Specialist in AI and Big Data, where he designs and leads the development of Artificial Intelligence solutions. He also teaches AI as a professor at the Masters and University levels. He has worked as a researcher on projects including recommendation systems, deep and machine learning, and as a Project Director at DEVO, where he led real-time Big Data initiatives. He is the Co-Founder of the Artificial Intelligence Professional Association &#8220;AI-Network&#8221; and the Co-Founder of the website jarroba.com, where he produces technical content about AI and Computer Science.[\/vc_column_text][vc_empty_space]<div id=\"ultimate-heading-63606aa67338c74dc\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-63606aa67338c74dc uvc-9849  uvc-heading-default-font-sizes\" data-hspacer=\"no_spacer\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-63606aa67338c74dc h4'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h4 style=\"--font-weight:theme;color:#4383ce;\">Local Interpretable Data Explanations Method with XAIoGraphs<\/h4><\/div><\/div>[vc_empty_space][vc_column_text]Telef\u00f3nica revealed its 5 AI principles in October 2018, one of which is &#8220;transparency and explainability,&#8221; ensuring that AI decisions provide an acceptable level of comprehension and explainability. Telef\u00f3nica&#8217;s R&amp;D teams have proposed innovative explainability and interpretability methods that satisfy their business needs, one of which is LIDE (Local Interpretable Data Explanations), which is capable of calculating explanations based simply on data. This approach has been implemented in XAIoGraphs, an Open Source tool described in the study.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_row_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_empty_space][vc_single_image image=&#8221;61340&#8243; img_size=&#8221;full&#8221;][vc_empty_space][vc_column_text]<\/p>\n<p style=\"text-align: center;\"><strong><a href=\"https:\/\/ideai.upc.edu\/en\" target=\"_blank\" rel=\"noopener\">www.ideai.upc.edu<\/a>\u00a0|<\/strong> <strong><a href=\"https:\/\/twitter.com\/KarinagibertK\" target=\"_blank\" rel=\"noopener\">@KarinagibertK<\/a><\/strong><\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;3\/4&#8243;][vc_empty_space]<div id=\"ultimate-heading-70546aa67338c756c\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-70546aa67338c756c uvc-3979  uvc-heading-default-font-sizes\" data-hspacer=\"line_only\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-70546aa67338c756c h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;\">KARINA GIBERT<\/h2><\/div><div class=\"uvc-heading-spacer line_only\" style=\"topheight:1px;\"><span class=\"uvc-headings-line\" style=\"border-style:solid;border-bottom-width:1px;border-color:#4383ce;width:100px;\"><\/span><\/div><div class=\"uvc-sub-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-70546aa67338c756c .uvc-sub-heading '  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"font-weight:normal;\"><\/p>\n<h4>Professor, director of IDEAI and dean of the COEINF<\/h4>\n<p><\/div><\/div>[vc_column_text]A professor at the Polytechnic University of Catalonia-BarcelonaTech (UPC), Karina Gibert has a degree and a PhD in Computer Engineering, specialised in Computational Statistics and Artificial Intelligence, and has completed postgraduate studies in University Teaching. She is a member of the government work team Catalonia.AI (Oct 2018 \u2013 present) and a member of the group of experts who write the Strategic Plan for AI in Catalonia (Gencat, approved on 2 February 2020). Dean of the COEINF since June 2023 and was the former Vice Dean of Big Data, Data Science and Artificial Intelligence (2017-2020). She is the secretary and co-founder of the Intelligent Data Science and Artificial Intelligence Research Centre (IDEAl) (2017 \u2013 present) and the founder of the COEINF Commission for the Gender Gap in Computer Engineering (May 2018 \u2013 present), a member of the Intercollegiate Gender Commission (2019 \u2013 present) and other gender commissions. Elected member of the board of directors of the International Environmental Modelling and Software Society (IEMS, as of July 2016), she is also an advisor to the High-Level Expert Group on Artificial Intelligence of the European Commission (September 2019 \u2013 present) on issues of ethics of Artificial Intelligence and the Spanish Senate.[\/vc_column_text][vc_empty_space]<div id=\"ultimate-heading-63026aa67338c75f6\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-63026aa67338c75f6 uvc-3535  uvc-heading-default-font-sizes\" data-hspacer=\"no_spacer\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-63026aa67338c75f6 h4'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h4 style=\"--font-weight:theme;color:#4383ce;\">Explainability or the insertion of data into decision processes<\/h4><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_row_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_empty_space][vc_single_image image=&#8221;61780&#8243; img_size=&#8221;full&#8221;][vc_empty_space][vc_column_text]<\/p>\n<p style=\"text-align: center;\"><a href=\"http:\/\/www.caixabank.cat\" target=\"_blank\" rel=\"noopener\"><strong>www.caixabank.cat<\/strong><\/a><\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;3\/4&#8243;][vc_empty_space]<div id=\"ultimate-heading-75936aa67338c7681\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-75936aa67338c7681 uvc-8623  uvc-heading-default-font-sizes\" data-hspacer=\"line_only\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-75936aa67338c7681 h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;\">JOAN VIDAL<\/h2><\/div><div class=\"uvc-heading-spacer line_only\" style=\"topheight:1px;\"><span class=\"uvc-headings-line\" style=\"border-style:solid;border-bottom-width:1px;border-color:#4383ce;width:100px;\"><\/span><\/div><div class=\"uvc-sub-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-75936aa67338c7681 .uvc-sub-heading '  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"font-weight:normal;\"><\/p>\n<h4>Risk Analytics\u00a0Director at\u00a0CaixaBank<\/h4>\n<p><\/div><\/div>[vc_column_text]<strong>Joan Vidal<\/strong> has a degree in mathematics from the University of Barcelona, a postgraduate degree in financial mathematics from the UPC and an MBA from the Instituto de Empresa. After a few years of teaching at the Faculty of Mathematics at the University of Barcelona, he began his career of +20 years in the financial sector (mainly Santander and CaixaBank), always linked to risk modeling aspects. He is currently Head of Risk Analytics at CaixaBank, where, among other things, he has led the transition to the development and use of machine learning models for credit risk management processes.[\/vc_column_text][vc_empty_space][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_row_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_empty_space][vc_single_image image=&#8221;61777&#8243; img_size=&#8221;full&#8221;][vc_empty_space][vc_column_text]<\/p>\n<p style=\"text-align: center;\"><strong><a href=\"http:\/\/www.caixabanktech.com\" target=\"_blank\" rel=\"noopener\">www.caixabanktech.com<\/a><\/strong><\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;3\/4&#8243;][vc_empty_space]<div id=\"ultimate-heading-18826aa67338c770d\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-18826aa67338c770d uvc-2980  uvc-heading-default-font-sizes\" data-hspacer=\"line_only\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-18826aa67338c770d h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;\">JAVIER MATAMOROS<\/h2><\/div><div class=\"uvc-heading-spacer line_only\" style=\"topheight:1px;\"><span class=\"uvc-headings-line\" style=\"border-style:solid;border-bottom-width:1px;border-color:#4383ce;width:100px;\"><\/span><\/div><div class=\"uvc-sub-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-18826aa67338c770d .uvc-sub-heading '  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"font-weight:normal;\"><\/p>\n<h4>AI Architect at CaixaBank Tech<\/h4>\n<p><\/div><\/div>[vc_column_text]<strong>Javier Matamoros Morcillo<\/strong>, PhD (Sabadell, 1982). Javier obtained his MSc in Telecommunications from the UPC in 2005 and his PhD in signal processing from the UPC in 2010 (Cum Laude). Before joining the CaixaBank group, he worked as a researcher for +10 years at the CTTC (Centre Tecnol\u00f2gic de Telecommunications de Catalunya). During this period, he carried out numerous research works on distributed optimization, distributed estimation and information theory applied to different verticals (IoT, communications, ML, and Smart Grids). He also directed 3 doctoral theses and participated in several national and European research projects with different roles (Researcher and Principal researcher). During this time, he published several research articles in high-impact journals and conferences (+50, h-index 15). In 2017, he joined the CaixaBank Cognitive team to provide transversal AI solutions to the group. In 2020, Javier joined CaixaBank Tech, where his role is AI Architect and technical lead. He is now participating in the design and development of cutting-edge AI solutions with high impact on the organization.[\/vc_column_text][vc_empty_space]<div id=\"ultimate-heading-10586aa67338c779c\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-10586aa67338c779c uvc-1181  uvc-heading-default-font-sizes\" data-hspacer=\"no_spacer\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-10586aa67338c779c h4'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h4 style=\"--font-weight:theme;color:#4383ce;\">Integrating AI at CaixaBank: transparency, efficiency and innovation<\/h4><\/div><\/div>[vc_empty_space][vc_column_text]CaixaBank, ever the pioneer in the use of new technologies, has been strongly promoting the use of AI in different verticals within the organisation. In this session, we will explain various applications and challenges, from models with stiff regulator demands, such as rating models, to the use of AI in crosscutting applications.<\/p>\n<p>Firstly, we will review the main challenges that have been addressed and overcome by the risk modelling team. These challenges range from modelling methodologies to essential elements to win the trust of users and regulators. They include explicability, fairness and governance, which are now part of the hype about AI Ethics and potential AI regulations.<\/p>\n<p>We will continue the session by outlining the crosscutting uses of AI in your organisation. Along these lines, CaixaBank Tech\u2019s AI CoE will explain different applications within the organisation. We will start with the use of computer vision and NLP techniques for the automation of document management. Finally, we will explore the potential uses of foundational algorithms\/LLMs within our organisation.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][\/vc_section][vc_row][vc_column][vc_row_inner][vc_column_inner][vc_empty_space]<div id=\"ultimate-heading-66006aa67338c7826\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-66006aa67338c7826 uvc-5763  uvc-heading-default-font-sizes\" data-hspacer=\"line_only\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-66006aa67338c7826 h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;color:#4383ce;\">Presents<\/h2><\/div><div class=\"uvc-heading-spacer line_only\" style=\"topheight:1px;\"><span class=\"uvc-headings-line\" style=\"border-style:solid;border-bottom-width:1px;border-color:#4383ce;width:100px;\"><\/span><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_row_inner][vc_column_inner width=&#8221;1\/4&#8243;][vc_empty_space][vc_single_image image=&#8221;62469&#8243; img_size=&#8221;full&#8221;][vc_empty_space][vc_column_text]<\/p>\n<p style=\"text-align: center;\"><a href=\"http:\/\/eurecat.org\/\" target=\"_blank\" rel=\"noopener\"><strong>eurecat.org<\/strong><\/a><\/p>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;3\/4&#8243;][vc_empty_space]<div id=\"ultimate-heading-62246aa67338c78c3\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-62246aa67338c78c3 uvc-6789  uvc-heading-default-font-sizes\" data-hspacer=\"line_only\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-62246aa67338c78c3 h2'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}' ><h2 style=\"--font-weight:theme;\">GEMMA BATLLE<\/h2><\/div><div class=\"uvc-heading-spacer line_only\" style=\"topheight:1px;\"><span class=\"uvc-headings-line\" style=\"border-style:solid;border-bottom-width:1px;border-color:#4383ce;width:100px;\"><\/span><\/div><div class=\"uvc-sub-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-62246aa67338c78c3 .uvc-sub-heading '  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"font-weight:normal;\"><\/p>\n<h4>Business Development Manager, Eurecat<\/h4>\n<p><\/div><\/div>[vc_column_text]<strong>Gemma Batlle<\/strong> is the head of ICT business development and the public sector at EURECAT (Technology Centre of Catalonia). She has a degree in Telecommunications Engineering from La Salle, an MBA from BES La Salle, Ramon Llull University and the University of Barcelona and a post-graduate certificate in Building Automation and Control from BES La Salle. She sits on the board of directors of Cl\u00faster Digital of Catalonia. At Eurecat, she is the head of the ICT and public sectors. She is currently working to establish patterns of collaboration and business among technology-based companies to promote and create innovative ideas and projects for the ICT sector. She previously worked as the head of business development at La Salle Parque de Innovaci\u00f3n, where she was responsible for identifying the different areas of knowledge and innovation to continue cooperation between companies. Before that, she worked as a coordinator in the Construction Technological Innovation Department at La Salle URL, in the Technology Transfer division.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>In this session, we will see the latest developments and examples of techniques that further the explicability of AI aimed at moving towards reliable and less opaque use. <\/p>\n","protected":false},"author":5,"featured_media":58706,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-61021","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized-ca","category-1","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>11.45h to 12.45h Explicability and trust, keys to scaling AI - AI Congress<\/title>\n<meta name=\"description\" content=\"To achieve the scaling adoption of AI-based solutions, we must build trust with users. The explicability of AI is key to this relationship, since it can elucidate decisions made by models and offers additional valuable information. It is also crucial to obtaining auditable algorithms. In this session, we will see the latest developments and examples of techniques that further the explicability of AI aimed at moving towards reliable and less opaque use.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aicongress.barcelona\/en\/xpai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"11.45h to 12.45h Explicability and trust, keys to scaling AI - AI Congress\" \/>\n<meta property=\"og:description\" content=\"To achieve the scaling adoption of AI-based solutions, we must build trust with users. The explicability of AI is key to this relationship, since it can elucidate decisions made by models and offers additional valuable information. It is also crucial to obtaining auditable algorithms. 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