Artificial Intelligence and the Law
Authors: Jerry Kaplan
<p>How will AI affect the law?</p>
<p>AI will significantly impact a wide variety of human activities and have a dramatic influence on many fields, professions, and markets. Any attempt to catalog these would necessarily be incomplete and go quickly out of date, so I...</p>
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Published: 2016-11-24
π Source: CrossRef
Artificial intelligence in healthcare: past, present and future
Authors: Fei Jiang, Yong Jiang, Hui Zhi
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI tec...
The Impact of Artificial Intelligence on Human Labor
Authors: Jerry Kaplan
<p>Are robots going to take away our jobs?</p>
<p>While itβs tempting to think of AI systems in general, and robots in particular, as mechanical laborers competing for employment, this isnβt a helpful perspective from which to explore their impact on labor markets. The image...</p>
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Published: 2016-11-24
π Source: CrossRef
Possible Future Impacts of Artificial Intelligence
Authors: Jerry Kaplan
<p>Is progress in AI accelerating?</p>
<p>Not all subfields of AI proceed at the same pace, in part because they build on progress in other fields. For example, improvements in the physical capabilities of robots have been relatively slow, since they are dependent on advances...</p>
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Published: 2016-11-24
π Source: CrossRef
The Impact of Artificial Intelligence on Social Equity
Authors: Jerry Kaplan
<p>Whoβs going to benefit from this technological revolution?</p>
<p>Unfortunately, AI is accelerating the substitution of capital for labor, and so those with capital will benefit at the expense of those whose primary asset is their ability to work. Income inequality is already a pressing...</p>
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Published: 2016-11-24
π Source: CrossRef
Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach
Authors: Casey C. Bennett, Kris Hauser
In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop a general purpose (non-disease-specific) computational/artificial intelligence (AI) framework to ad...
Study on the Helpfulness of Explainable Artificial Intelligence
Authors: Tobias Labarta, Elizaveta Kulicheva, Ronja Froelian
Explainable Artificial Intelligence (XAI) is essential for building advanced machine learning-powered applications, especially in critical domains such as medical diagnostics or autonomous driving. Legal, business, and ethical requirements motivate using effective XAI, but the increasing number of different methods makes it challenging to pick the right ones. Further, as explanations are highly co...