{"id":2117,"date":"2024-05-17T14:05:26","date_gmt":"2024-05-17T21:05:26","guid":{"rendered":"https:\/\/aiccsa.net\/AICCSA2024\/?page_id=2117"},"modified":"2024-06-14T10:20:49","modified_gmt":"2024-06-14T17:20:49","slug":"echo-2024","status":"publish","type":"page","link":"https:\/\/aiccsa.net\/AICCSA2024\/echo-2024\/","title":{"rendered":"ECHO 2024"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"2117\" class=\"elementor elementor-2117\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-531b368 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"531b368\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-086dad2\" data-id=\"086dad2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-46d84a6 elementor-widget elementor-widget-text-editor\" data-id=\"46d84a6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span style=\"color: #0000ff;\"><strong>1st International Workshop on Ethical AI in Healthcare: Connecting Innovation and Responsibility (ECHO&#8217;2024)<\/strong><\/span><\/p><p style=\"text-align: center;\"><a href=\"https:\/\/sites.google.com\/view\/echo-ai\/home\"><span style=\"color: #0000ff;\"><strong>https:\/\/sites.google.com\/view\/echo-ai\/home<\/strong><\/span><\/a><\/p><p><strong><span style=\"color: #000000;\">OVERVIEW<\/span><\/strong><br \/><span style=\"color: #000000;\">As technology advances, Artificial Intelligence (AI) has become increasingly prevalent in <\/span><span style=\"color: #000000;\">healthcare, revolutionizing clinical diagnostics, patient care, predictive medicine, and decision-<\/span><span style=\"color: #000000;\">making. However, with this rapid transformative technology comes a pressing need to address <\/span><span style=\"color: #000000;\">ethical, legal, and social considerations. The intersection of AI and healthcare raises complex <\/span><span style=\"color: #000000;\">issues surrounding patient privacy, data security, algorithmic bias, and equitable access to care.<\/span><br \/><span style=\"color: #000000;\">To tackle these challenges, our workshop aims to explore ethical AI in healthcare and discuss <\/span><span style=\"color: #000000;\">strategies to bridge the gap between innovation and responsibility. By fostering a culture of <\/span><span style=\"color: #000000;\">responsible innovation, we can harness the full potential of technological advancements of AI <\/span><span style=\"color: #000000;\">while ensuring AI alignments with ethical principles and governance.<\/span><br \/><span style=\"color: #000000;\">While the AICSSA&#8217;2024 conference covers a broader range of contemporary areas in computer <\/span><span style=\"color: #000000;\">systems and applications, this workshop will cover the importance of ethical considerations in <\/span><span style=\"color: #000000;\">the design, development and deployment of responsible AI in healthcare innovation.<\/span><br \/><span style=\"color: #000000;\">The key objectives of this workshop include:<\/span><br \/><span style=\"color: #000000;\">\u25aa Examine the current landscape of AI applications in healthcare and identify potential<\/span><br \/><span style=\"color: #000000;\">ethical challenges.<\/span><br \/><span style=\"color: #000000;\">\u25aa Enhancing awareness on incorporating ethical considerations into AI development and<\/span><br \/><span style=\"color: #000000;\">deployment processes.<\/span><br \/><span style=\"color: #000000;\">\u25aa Promoting responsible and evidence-informed AI implementation in healthcare.<\/span><br \/><span style=\"color: #000000;\">\u25aa Explore case studies highlighting ethical challenges in AI-driven healthcare solutions.<\/span><br \/><span style=\"color: #000000;\">\u25aa Identify relevant ethical frameworks, principles, and best practices for ensuring<\/span><br \/><span style=\"color: #000000;\">transparency, explainability, and fairness in AI algorithms and models.<\/span><br \/><span style=\"color: #000000;\">\u25aa Foster critical thinking and collaboration among stakeholders to develop actionable<\/span><br \/><span style=\"color: #000000;\">solutions and promote responsible AI in healthcare.<\/span><\/p><p><strong><span style=\"color: #000000;\">TARGET AUDIENCE<\/span><\/strong><br \/><span style=\"color: #000000;\">This workshop is designed for AI researchers, scholars, healthcare professionals, policymakers, <\/span><span style=\"color: #000000;\">ethicists, and other stakeholders involved in the development, deployment, or regulation of AI <\/span><span style=\"color: #000000;\">technologies and generative AI in healthcare settings. By bringing together diverse <\/span><span style=\"color: #000000;\">perspectives, we aim to foster collaboration and catalyze efforts to bridge the gap between <\/span><span style=\"color: #000000;\">innovative solutions and responsibility in this rapidly evolving field.<\/span><\/p><p><span style=\"color: #000000;\">Topics of interest include, but are not limited to:<\/span><\/p><p><span style=\"color: #000000;\">\u25aa Challenges and issues in AI-related design, development and ethics.<\/span><br \/><span style=\"color: #000000;\">\u25aa Ethical frameworks, models, and guidelines around AI in healthcare.<\/span><br \/><span style=\"color: #000000;\">\u25aa AI and law, regulation and governance in healthcare.<\/span><br \/><span style=\"color: #000000;\">\u25aa AI Ethics, cybersecurity, privacy, and risk management in healthcare.<\/span><br \/><span style=\"color: #000000;\">\u25aa AI bias, fairness, and ethical algorithms in heathcare.<\/span><br \/><span style=\"color: #000000;\">\u25aa Ethically-aligned design of AI-driven healthcare systems.<\/span><br \/><span style=\"color: #000000;\">\u25aa Ethically-aware methods in AI, Machine Learning, Deep Learnign, and Big Data.<\/span><br \/><span style=\"color: #000000;\">\u25aa Ethics of AI and data analytics.<\/span><br \/><span style=\"color: #000000;\">\u25aa Applied AI ethics in healthcare (case studies, empirical investigations, taxonomical<\/span><br \/><span style=\"color: #000000;\">research, relevant work from sociology, psychology, and other socialsciences).<\/span><br \/><span style=\"color: #000000;\">\u25aa Explainable AI models behind AI-driven healthcare decisions.<\/span><br \/><span style=\"color: #000000;\">\u25aa Model-based design of trustworthy health information systems.<\/span><br \/><span style=\"color: #000000;\">\u25aa Ethics and telemedicine, remote monitoring, IoT in healthcare.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>1st International Workshop on Ethical AI in Healthcare: Connecting Innovation and Responsibility (ECHO&#8217;2024) https:\/\/sites.google.com\/view\/echo-ai\/home OVERVIEWAs technology advances, Artificial Intelligence (AI) has become increasingly prevalent in healthcare, revolutionizing clinical diagnostics, patient care, predictive medicine, and decision-making. However, with this rapid transformative technology comes a pressing need to address ethical, legal, and social considerations. The intersection of [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","footnotes":""},"class_list":["post-2117","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/aiccsa.net\/AICCSA2024\/wp-json\/wp\/v2\/pages\/2117","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiccsa.net\/AICCSA2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aiccsa.net\/AICCSA2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aiccsa.net\/AICCSA2024\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/aiccsa.net\/AICCSA2024\/wp-json\/wp\/v2\/comments?post=2117"}],"version-history":[{"count":13,"href":"https:\/\/aiccsa.net\/AICCSA2024\/wp-json\/wp\/v2\/pages\/2117\/revisions"}],"predecessor-version":[{"id":2350,"href":"https:\/\/aiccsa.net\/AICCSA2024\/wp-json\/wp\/v2\/pages\/2117\/revisions\/2350"}],"wp:attachment":[{"href":"https:\/\/aiccsa.net\/AICCSA2024\/wp-json\/wp\/v2\/media?parent=2117"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}