Best Practices and Artificial Intelligence

2014 ◽  
pp. 84-99
Keyword(s):  
Artificial Intelligence ◽  
Best Practices

Perceptions and New Realities for the 21st Century Learner

2020 ◽  
pp. 93-108
Author(s):  
Jennifer (Jenny) L. Penland ◽  
Kennard Laviers
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Best Practices ◽  
Computer Science ◽  
21St Century ◽  
Subject Matter ◽  
Age Groups ◽  
The Way

Of all the technologies emerging today, augmented reality (AR) stands to be one of, if not the, most transformational in the way we teach our students across the spectrum of age groups and subject matter. The authors propose “best practices” that allow the educator to use AR as a tool that will not only teach the processes of a skill but will also encourage students to use AR as a motivational tool that allows them to discover, explore, and perform work beyond what is capable with this revolutionary device. Finally, the authors provide and explore the artificial intelligence (AI) processors behind the technologies driving down cost while driving up the quality of AR and how this new field of computer science is transforming all facets of society and may end up changing pedagogy more profoundly than anything before it.

Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation

2019 ◽  
Vol 76 (6) ◽  
pp. 1681-1690 ◽  
Author(s):  
Alexander Winkler-Schwartz ◽  
Vincent Bissonnette ◽  
Nykan Mirchi ◽  
Nirros Ponnudurai ◽  
Recai Yilmaz ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Medical Education ◽  
Virtual Reality ◽  
Best Practices ◽  
Virtual Reality Simulation ◽  
Surgical Expertise

scholarly journals The social dilemma in artificial intelligence development and why we have to solve it

AI and Ethics ◽  
2021 ◽  
Author(s):  
Inga Strümke ◽  
Marija Slavkovik ◽  
Vince Istvan Madai
Keyword(s):  
Artificial Intelligence ◽  
Best Practices ◽  
Social Dilemma ◽  
Ethical Guidelines ◽  
Current Crisis ◽  
Development Ethics ◽  
The Social ◽  
Intelligence Development

AbstractWhile the demand for ethical artificial intelligence (AI) systems increases, the number of unethical uses of AI accelerates, even though there is no shortage of ethical guidelines. We argue that a possible underlying cause for this is that AI developers face a social dilemma in AI development ethics, preventing the widespread adaptation of ethical best practices. We define the social dilemma for AI development and describe why the current crisis in AI development ethics cannot be solved without relieving AI developers of their social dilemma. We argue that AI development must be professionalised to overcome the social dilemma, and discuss how medicine can be used as a template in this process.

The “War” on Expertise

2018 ◽  
pp. 1156-1192 ◽  
Author(s):  
Gary Klein ◽  
Ben Shneiderman ◽  
Robert R. Hoffman ◽  
Robert L. Wears
Keyword(s):  
Artificial Intelligence ◽  
Best Practices ◽  
Linear Models ◽  
Evidence Based ◽  
Heuristics And Biases ◽  
Ideological Position ◽  
Social Attribution ◽  
Computer Scientists ◽  
Multiple Interactions ◽  
Cognitive Challenges

Five communities actively disparage the benefits of expertise. This chapter explains why their criticisms are misguided. Experimental psychologists have shown that linear models can outperform experts, but the factors driving these models are drawn from experts’ judgments. The Heuristics and Biases community asserts that experts are prone to flawed reasoning, but ignores the ways that heuristics let us handle complexity and ambiguity. The evidence-based performance community wants practitioners to rely on best practices identified through carefully designed research, but ignores the cognitive challenges of handling incidents that involve multiple interactions and demand adaptation. Computer scientists have shown that artificial intelligence can outperform experts in games such as chess and Go—fixed tasks with little ambiguity. Some sociologists argue that expertise is just a social attribution, an ideological position that minimizes the contributions of individual experts. Studying these criticisms can help us discover better methods for supporting experts and fostering expertise.

scholarly journals SAWIT—Security Awareness Improvement Tool in the Workplace

2020 ◽  
Vol 10 (9) ◽  
pp. 3065
Author(s):  
Ana Kovačević ◽  
Sonja D. Radenković
Keyword(s):  
Artificial Intelligence ◽  
Collaborative Learning ◽  
Best Practices ◽  
Cyber Security ◽  
Training Programs ◽  
Transformation Model ◽  
Security Awareness ◽  
Web Tool ◽  
Knowledge Transformation ◽  
Previous Training

Cyberattacks are becoming increasingly sophisticated and severe, and an organization’s protection depends on its weakest member. Although users are aware of the risks in cyberspace, most of them do not follow best practices, and there is a need for permanent structured training. The majority of previous training programs concentrated on technically educated users, but the organization is only as secure as the most vulnerable link in it. The paper presents SAWIT, a new Web tool, created with the goal of improving security awareness among employees. It is an innovative artificial intelligence framework aimed at improving the cyber security knowledge of employees by using collaborative learning and assessment within the specified knowledge transformation model.

Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

2021 ◽  
pp. jnumed.121.262567
Author(s):  
Tyler J. Bradshaw ◽  
Ronald Boellaard ◽  
Joyita Dutta ◽  
Abhinav K. Jha ◽  
Paul Jacobs ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Nuclear Medicine ◽  
Best Practices ◽  
Algorithm Development

scholarly journals Best practices for artificial intelligence in life sciences research

2021 ◽  
Author(s):  
Vladimir A. Makarov ◽  
Terry Stouch ◽  
Brandon Allgood ◽  
Chris D. Willis ◽  
Nick Lynch
Keyword(s):  
Artificial Intelligence ◽  
Best Practices ◽  
Life Sciences

scholarly journals Best Practices for Artificial Intelligence in Life Sciences Research

2020 ◽  
Author(s):  
Vladimir Makarov ◽  
Terry Stouch ◽  
Brandon Allgood ◽  
Christopher Willis ◽  
Nick Lynch
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Best Practices ◽  
Life Sciences ◽  
Organizational Management ◽  
Biotechnology Research

We describe 11 best practices for the successful use of Artificial Intelligence and Machine Learning in the pharmaceutical and biotechnology research, on the data, technology, and organizational management levels.

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