{"id":3870,"date":"2023-03-29T13:27:15","date_gmt":"2023-03-29T13:27:15","guid":{"rendered":"https:\/\/ieeecscai.wpengine.com\/2023\/?page_id=3870"},"modified":"2023-05-18T07:14:26","modified_gmt":"2023-05-18T07:14:26","slug":"olga-scrivner","status":"publish","type":"page","link":"https:\/\/cai.ieee.org\/2023\/olga-scrivner\/","title":{"rendered":"Olga Scrivner"},"content":{"rendered":"\t\t
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Olga Scrivner
\nAssistant Professor, Rose-Hulman Institute of Technology
\nCo-Founder of Scrivner Solutions, Inc.<\/h4>\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
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\"\"<\/p>

June 5, 4:45pm
Location: Santa Clara I<\/strong><\/h5>

Panelist: Everything Everywhere All at Once: AI Disruption, Ethics, and Innovation<\/a><\/span><\/h4>

To disrupt something is to disturb the normal flow of an activity or process. While in our personal lives, we generally abhor disruption, in the business world disruption is viewed as being a positive change, forcing us to abandon the status quo for a new better way of doing things. Only a few technologies have been as disruptive, both to our private lives and the business world, as Artificial Intelligence (AI). Human coexistence with AI has been seen as a “friend” or “foe”. However, with the omnipresence of AI-powered applications and their increasing accessibility and efficiency, more humans start relying on AI decisions in their daily tasks. These \u201cblack box\u201d solutions are often believed to be mathematically pure, and thus unbiased, leading to ethical and societal implications, even reinforcing socio-cognitive fallacies. Bias creeps into these systems through their inputs, design, how they are used, and how the output is perceived by the users. Can the average developer or annotator, ensconced in their cube, going about their quotidian niche work in an organization, imagine all the perspectives needed to predict an ethical conflict resulting from that work, such as a user querying ChatGPT for \u201cBuild a marketplace on the dark web\u201d? What are the moral obligations of an engineer building an automated system? How can we better equip students, practitioners, and business leaders to understand and discuss not only the business impacts of the technologies they build or use but also their societal impacts? How do we ensure that new technologies help us mitigate biases and differences in ability rather than exacerbating them? Our diverse panel of industry and academic experts will address these questions by telling stories from their personal experiences and discussing those experiences with each other and the audience.<\/p>

\"\"<\/a>Olga Scrivner<\/strong> is an Assistant Professor in Computer Science & Software Engineering at the Rose-Hulman Institute of Technology and an Adjunct faculty in the Online Data Science program at Indiana University. Her research focuses on NLP (text and speech recognition) for low-resource languages and NLP biases. She also co-founded Scrivner Solutions, Inc, a consulting firm that provides AI-based solutions to healthcare organizations, and Scrivner Analytika for NLP-based solutions. She also circumnavigated the earth and visited all 7 continents and in her free time she runs the martial art dojo.<\/p>

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Olga Scrivner Assistant Professor, Rose-Hulman Institute of Technology Co-Founder of Scrivner Solutions, Inc. June 5, 4:45pmLocation: Santa Clara I Panelist: Everything Everywhere All at Once: AI Disruption, Ethics, and Innovation To disrupt something is to disturb the normal flow of an activity or process. While in our personal lives, we generally abhor disruption, in the […]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-3870","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages\/3870","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/comments?post=3870"}],"version-history":[{"count":0,"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/pages\/3870\/revisions"}],"wp:attachment":[{"href":"https:\/\/cai.ieee.org\/2023\/wp-json\/wp\/v2\/media?parent=3870"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}