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1 de sept. de 2022 · Intelligence Augmentation: Human Factors in AI and Future of Work. September 2022. DOI: 10.17705/1thci.00174. Authors: Souren Paul. Northern Kentucky University. Lingyao Yuan. Iowa State...
18 de ago. de 2021 · Specifically, AI is becoming increasingly proficient at calculation, computation, and prediction (“reckoning”) skills. As such, we will see increased demand for human judgment skills such as decision-making under conditions of uncertainty, deliberation, ethics, and practical knowing.
12 de abr. de 2020 · Augmented intelligence is a substitute formulation of artificial intelligence that focuses on AI’s role in aiding and promoting human capabilities. Intelligence augmentation reflects the proceeding effect of AI in expanding human creativity. General intelligence is unlikely to surpass human intelligence in the next 60 years .
- Hossein Hassani, Emmanuel Sirimal Silva, Stephane Unger, Maedeh TajMazinani, Stephen Mac Feely
- 2020
- Lina Zhou
- Souren Paul
- Jim Spohrer
- Intelligence Augmentation: Towards Building Human-Machine Symbiotic Relationship
- Souren Paul
- Lingyao (Ivy) Yuan
- Haluk Demirkan
- Julie Basu
- 1 Introduction
- 2.1 Definition
- 3.2 Research Disciplines
- 3.3 Research Areas and Topics
- 4 A Basic IA Framework
- 4.2 Humans
- 4.3 Technologies
- 4.5 Environment
- 5.1 Governance with Trusted AI and Responsible People
- 5.3 Ethical Issues
- 5.4 Human-AI Interaction
- 5.5 Future of Workplace Culture
- 5.6 Skill Shift in Workforce Training
- 6 Conclusions
- Acknowledgments
University of North Carolina at Charlotte, lzhou@uncc.edu
Northern Kenntucky University, souren.paul@gmail.com
IBM Almaden Research Center, spohrer@us.ibm.com See next page for additional authors Follow this and additional works at: https://aisel.aisnet.org/thci
Lina Zhou Department of Business Information Systems and Operations Management, Belk College of Business, University of North Carolina at Charlotte, lzhou@uncc.edu Souren Paul Department of Business Informatics, Northern Kentucky University, souren.paul@gmail.com Haluk Demirkan Milgard School of Business, University of Washington Tacoma, haluk@uw.e...
Department of Business Informatics Northern Kentucky University souren.paul@gmail.com
Department of Information Systems & Business Analytics Debbie & Jerry Ivy College of Business, Iowa State University lyuan@iastate.edu
Milgard School of Business University of Washington Tacoma haluk@uw.edu
smartQED julie@smartqed.com Artificial intelligence, which people originally modeled after human intelligence, has made significant advances in recent years. These advances have caused many to fear that machines will surpass human intelligence and dominate humans. Intelligence augmentation (IA) has the potential to turn the tension between the two ...
Today, humanity has turned visions about theoretical computer science into reality through advancements in technologies, especially in artificial intelligence (AI), and the availability of big data across many different domains (Shneiderman, 2020). Businesses now invest heavily in AI to improve their operational efficiency and value creation. They ...
According to dictionary.com, augmentation refers to the act or process of augmenting something (“Augmentation”, n.d.)—adding to it in a way that makes it bigger or better. We define IA as enhancing and elevating human’s ability, intelligence, and performance with the help of information technology. IA stresses human-machine collaboration or human-m...
To understand the breadth of IA research, we summarized the (sub-)disciplines that the IA publications came from, which we sorted in descending order of their publication counts (≥ 2) in Table 1. In the table, we made a few minor modifications to the original discipline classification from the WoS such as treating “information systems” as a separat...
Moving beyond research disciplines, we further looked into the specific areas that IA research has addressed. To this end, we first extracted author-defined keywords that reflect specific research topics and then manually clustered them into areas based on their similarities. Table 2 lists some of the research areas and related research topics that...
Based on conceptualizing IA; theoretically analyzing machine intelligence and human intelligence, IA roles, and capabilities; and reviewing the IA literature, we propose a basic IA ecosystem framework. The framework comprises five key components: goals, humans, machines (technologies), governance, and environment (see Figure 7).
When designing IA, designers must consider human users to understand when, what, and how to augment human abilities. This component not only draws on human intelligence theories but also reflects the human system that feeds the capability infrastructure in the augmentation system (see Figure 2). Human factors not only include their psychological, p...
Drawing on the strengths of machine intelligence, this discussion focuses on enabling technologies as tools, the other cornerstone of the capability infrastructure in the IA system (see Figure 2). Based on the specificity of technologies that enable IA, we classify the technologies from the literature into two categories: general-purpose technologi...
A variety of internal and external environment factors can affect the development and adoption of IA. These factors include institutional structure, financial resources, human resources, technology infrastructure, economic and social environments, policies, and global environment, and key stakeholders such as customers, competitors, regulatory agen...
Among the proposed IA framework’s components, researchers have not sufficiently studied governance. We expect decision governance to be one area that will witness significant changes in the future. Governance ensures the human-machine symbiotic relationship can work by establishing trust. AI-enabled IA already exists in our cars, homes, and jobs....
People have augmented their biological capacity through artifacts for many years (e.g., running shoes to improve physical capacity, calculators to boost mathematical skills, and eye glasses to enhance vision). As the technologies we use rapidly become more sophisticated, more personalized, and smarter, our ability to interact and use these technolo...
We undoubtedly need to improve the algorithms and techniques that underlie IA and AI to make better IA and AI. However, researchers also need to pay more attention to the human factors in the “collaborative” relationship. For example, one study shows that human trust on intelligent agents could depend on human users’ personality traits (Zhou, Mark,...
As our lives increasingly require more machine-human collaborations, people will need to become used to collaborating with machines in their personal and professional lives. Just like how people today ubiquitously adopt computers and smartphones, people will have to adopt AI/intelligent computer systems in their lives. Thus, we need to democratize ...
In IA, each human in a centralized control position must assess the distributed situation in which many machines evolve. Generally, the situation assessment involves acquiring, organizing, and abstracting information about the environment. Workers also need to overcome resistance to change and master the skills they need to effectively partner with...
With a focus on combining the strengths of human and machine intelligence, IA has the possibility to fundamentally change the role that technology plays in our work and life. The significant advancement and accessibility of AI technologies and related technology infrastructure has made the present a historical moment for IA. As IA enters into our d...
We thank the Editor-in-Chief, Fiona Nah, and the Managing Editor, Gregory D. Moody, for their support and guidance throughout the process. We also thank Dongsong Zhang for his constructive suggestions and Adam LeBrocq for his thoughtful edits and comments.
- Lina Zhou, Souren Paul, Haluk Demirkan, Lingyao Yuan, Jim Spohrer, Michelle Zhou, Julie Basu
- 2021
9 de nov. de 2021 · This phenomenon is known as intelligence augmentation (IA), which can be understood as an advancement of human abilities based on technological devices that link digital data, graphics and services to physical movement and interactions in the real environment.
Intelligence amplification ( IA) (also referred to as cognitive augmentation, machine augmented intelligence and enhanced intelligence) refers to the effective use of information technology in augmenting human intelligence. The idea was first proposed in the 1950s and 1960s by cybernetics and early computer pioneers .
Intelligence augmentation is when AI and humans engage in a complementary partnership in which a human-and-AI team’s overall performance is greater than their individual capacity. As AI takes over a greater percentage of the reckoning tasks, the need for workers to engage in a complementary relationship with machines will become more important.
