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Aleksandra Mojsilovic
IBM
Machine learningPattern recognitionComputer visionComputer scienceImage texture
131Publications
24H-index
3,023Citations
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Publications 104
Newest
#1Dario Gil (IBM)H-Index: 5
#2Stacy F. Hobson (IBM)H-Index: 4
Last. J. Mylroie-Smith (IBM)H-Index: 139
view all 5 authors...
Artificial Intelligence (AI) offers great promise in supporting business operations. In this chapter, Dario Gil and co-authors provide a general introduction of AI and its applications to management. They describe how recent advancements in the field are enabling their use in supporting managerial tasks and functions such as strategy planning, marketing and customer support. They also discuss some key considerations for business leaders interested in leveraging AI to improve business performance...
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#1Yaoli MaoH-Index: 1
#2Dakuo WangH-Index: 7
Last. Aleksandra MojsilovicH-Index: 24
view all 7 authors...
In recent years there has been an increasing trend in which data scientists and domain experts work together to tackle complex scientific questions. However, such collaborations often face challenges. In this paper, we aim to decipher this collaboration complexity through a semi-structured interview study with 22 interviewees from teams of bio-medical scientists collaborating with data scientists. In the analysis, we adopt the Olsons' four-dimensions framework proposed in Distance Matters to cod...
1 CitationsSource
#1Michael HindH-Index: 25
#2Stephanie HoudeH-Index: 3
Last. Kush R. VarshneyH-Index: 18
view all 7 authors...
AI models and services are used in a growing number of highstakes areas, resulting in a need for increased transparency. Consistent with this, several proposals for higher quality and more consistent documentation of AI data, models, and systems have emerged. Little is known, however, about the needs of those who would produce or consume these new forms of documentation. Through semi-structured developer interviews, and two document creation exercises, we have assembled a clearer picture of thes...
#1Rachel K. E. Bellamy (IBM)H-Index: 23
#2Kuntal Dey (IBM)H-Index: 8
Last. Yunfeng Zhang (IBM)H-Index: 5
view all 17 authors...
Today, machine-learning software is used to help make decisions that affect people's lives. Some people believe that the application of such software results in fairer decisions because, unlike humans, machine-learning software generates models that are not biased. Think again. Machine-learning software is also biased, sometimes in similar ways to humans, often in different ways. While fair model- assisted decision making involves more than the application of unbiased models-consideration of app...
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#1Barbara A. HanH-Index: 1
#2Subhabrata Majumdar (UF: University of Florida)H-Index: 4
Last. Kush R. Varshney (IBM)H-Index: 18
view all 11 authors...
Abstract The recent Zika virus (ZIKV) epidemic in the Americas ranks among the largest outbreaks in modern times. Like other mosquito-borne flaviviruses, ZIKV circulates in sylvatic cycles among primates that can serve as reservoirs of spillover infection to humans. Identifying sylvatic reservoirs is critical to mitigating spillover risk, but relevant surveillance and biological data remain limited for this and most other zoonoses. We confronted this data sparsity by combining a machine learning...
2 CitationsSource
Jan 27, 2019 in AAAI (National Conference on Artificial Intelligence)
#1Michael Hind (IBM)H-Index: 25
#2Dennis Wei (IBM)H-Index: 14
Last. Kush R. Varshney (IBM)H-Index: 18
view all 8 authors...
Artificial intelligence systems are being increasingly deployed due to their potential to increase the efficiency, scale, consistency, fairness, and accuracy of decisions. However, as many of these systems are opaque in their operation, there is a growing demand for such systems to provide explanations for their decisions. Conventional approaches to this problem attempt to expose or discover the inner workings of a machine learning model with the hope that the resulting explanations will be mean...
3 CitationsSource
#1Noel C. F. CodellaH-Index: 18
#2Michael Hind (IBM)H-Index: 25
Last. Aleksandra MojsilovicH-Index: 24
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Using machine learning in high-stakes applications often requires predictions to be accompanied by explanations comprehensible to the domain user, who has ultimate responsibility for decisions and outcomes. Recently, a new framework for providing explanations, called TED, has been proposed to provide meaningful explanations for predictions. This framework augments training data to include explanations elicited from domain users, in addition to features and labels. This approach ensures that expl...
The AI for social good movement has now reached a state in which a large number of one-off demonstrations have illustrated that partnerships of AI practitioners and social change organizations are possible and can address problems faced in sustainable development. In this paper, we discuss how moving from demonstrations to true impact on humanity will require a different course of action, namely open platforms containing foundational AI capabilities to support common needs of multiple organizati...
#1Vijay AryaH-Index: 1
Last. Yunfeng ZhangH-Index: 19
view all 20 authors...
As artificial intelligence and machine learning algorithms make further inroads into society, calls are increasing from multiple stakeholders for these algorithms to explain their outputs. At the same time, these stakeholders, whether they be affected citizens, government regulators, domain experts, or system developers, present different requirements for explanations. Toward addressing these needs, we introduce AI Explainability 360 (this http URL), an open-source software toolkit featuring eig...
4 Citations
#1Matthew ArnoldH-Index: 22
Last. Kush R. VarshneyH-Index: 18
view all 13 authors...
Accuracy is an important concern for suppliers of artificial intelligence (AI) services, but considerations beyond accuracy, such as safety (which includes fairness and explainability), security, and provenance, are also critical elements to engender consumers' trust in a service. Many industries use transparent, standardized, but often not legally required documents called supplier's declarations of conformity (SDoCs) to describe the lineage of a product along with the safety and performance te...
3 Citations
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