<?xml version="1.0"?>

<!DOCTYPE owl [
	<!ENTITY rdf "http://www.w3.org/1999/02/22-rdf-syntax-ns#">
	<!ENTITY rdfs "http://www.w3.org/2000/01/rdf-schema#">
	<!ENTITY xsd "http://www.w3.org/2001/XMLSchema#">
	<!ENTITY owl "http://www.w3.org/2002/07/owl#">
	<!ENTITY cc "http://web.resource.org/cc/#">
	<!ENTITY project "http://ebiquity.umbc.edu/ontology/project.owl#">
	<!ENTITY person "http://ebiquity.umbc.edu/ontology/person.owl#">
	<!ENTITY pub "http://ebiquity.umbc.edu/ontology/publication.owl#">
	<!ENTITY assert "http://ebiquity.umbc.edu/ontology/assertion.owl#">
]>

<!--

This ontology document is licensed under the Creative Commons
Attribution License. To view a copy of this license, visit
http://creativecommons.org/licenses/by/2.0/ or send a letter to
Creative Commons, 559 Nathan Abbott Way, Stanford, California
94305, USA.

-->

<rdf:RDF 
		xmlns:rdf = "&rdf;"
		xmlns:rdfs = "&rdfs;"
		xmlns:xsd = "&xsd;"
		xmlns:owl = "&owl;"
		xmlns:cc = "&cc;"
		xmlns:project = "&project;"
		xmlns:person = "&person;"
		xmlns:pub = "&pub;"
		xmlns:assert = "&assert;">
	<pub:Article rdf:about="http://ebiquity.umbc.edu/paper/html/id/1036/Process-Knowledge-Infused-AI-Toward-User-Level-Explainability-Interpretability-and-Safety">
		<rdfs:label><![CDATA[Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety]]></rdfs:label>
		<pub:title><![CDATA[Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2022-09-13T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[AI has seen wide adoption for automating tasks in several domains. However, AI's use in high-value, sensitive, or safety-critical applications such as self-management for personalized health or personalized nutrition has been challenging. These require that the AI system follows guidelines or well-defined processes set by experts, community, or standards. We characterize these as process knowledge (PK). For example, to diagnose the severity of depression, the AI system should incorporate PK that is part of the clinical decision-making process, such as the Patient Health Questionnaire (PHQ-9). Likewise, a nutritionist's knowledge and dietary guidelines are needed to create food plans for diabetic patients. Furthermore, the BlackBox nature of purely data-reliant statistical AI systems falls short in providing user-understandable explanations, such as what a clinician would need to ensure and document compliance with medical guidelines before relying on a recommendation. Using the examples of mental health and cooking recipes for diabetic patients, we show why, what, and how to incorporate PK along with domain knowledge in machine learning. We discuss methods for infusing PK and present performance evaluation metrics. Support for safety and user-level explainability of the PK-infused learning improves confidence and trust in the AI system.]]></pub:abstract>
		<pub:note><![CDATA[<p>See the <a href="https://ieeexplore.ieee.org/abstract/document/9889132">publisher's site</a> for the final copy.</p>

<p><img src="https://i.imgur.com/OsGb14B.png" style="width: 100%; border: 2px solid #000000"></p>]]></pub:note>
		<pub:counter>664</pub:counter>
		<pub:booktitle><![CDATA[IEEE Internet Computing]]></pub:booktitle>
		<pub:publisher><![CDATA[IEEE]]></pub:publisher>
		<pub:author>
			<rdf:List>
				<rdf:first>
					<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Amit/Sheth"><person:name><![CDATA[Amit Sheth]]></person:name><rdfs:label><![CDATA[Amit Sheth]]></rdfs:label></person:Person>
				</rdf:first>
				<rdf:rest>					<rdf:List>
						<rdf:first>
							<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Manas/Gaur"><person:name><![CDATA[Manas Gaur]]></person:name><rdfs:label><![CDATA[Manas Gaur]]></rdfs:label></person:Person>
						</rdf:first>
						<rdf:rest>							<rdf:List>
								<rdf:first>
									<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Kaushik/Roy"><person:name><![CDATA[Kaushik Roy]]></person:name><rdfs:label><![CDATA[Kaushik Roy]]></rdfs:label></person:Person>
								</rdf:first>
								<rdf:rest>									<rdf:List>
										<rdf:first>
											<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Revathy/Venkataraman"><person:name><![CDATA[Revathy Venkataraman]]></person:name><rdfs:label><![CDATA[Revathy Venkataraman]]></rdfs:label></person:Person>
										</rdf:first>
										<rdf:rest>											<rdf:List>
												<rdf:first>
													<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Vedant/Khandelwal"><person:name><![CDATA[Vedant Khandelwal]]></person:name><rdfs:label><![CDATA[Vedant Khandelwal]]></rdfs:label></person:Person>
												</rdf:first>
												<rdf:rest rdf:resource="&rdf;nil" />
											</rdf:List>
										</rdf:rest>
									</rdf:List>
								</rdf:rest>
							</rdf:List>
						</rdf:rest>
					</rdf:List>
				</rdf:rest>
			</rdf:List>
		</pub:author>
		<pub:firstAuthor>
<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Amit/Sheth"><person:name><![CDATA[Amit Sheth]]></person:name><rdfs:label><![CDATA[Amit Sheth]]></rdfs:label></person:Person>
		</pub:firstAuthor>
		<pub:softCopy><pub:SoftCopy>
			<pub:softCopyFormat><![CDATA[PDF Document]]></pub:softCopyFormat>
			<pub:softCopyURI><![CDATA[http://ebiquity.umbc.edu/get/a/publication/1162.pdf]]></pub:softCopyURI>
			<pub:softCopySize>1144901</pub:softCopySize>
			</pub:SoftCopy>
			</pub:softCopy>
	</pub:Article>

<rdf:Description rdf:about="">
	<cc:License rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
</rdf:Description>

</rdf:RDF>
