The transformative potential of artificial intelligence

Gruetzemacher, Ross; Whittlestone, Jess

doi:10.1016/j.futures.2021.102884

Cited by 66 publications

(37 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Transformative potential of movies has been widely explored in the education domain, by focusing on impactful masterpieces, such as Dead Poets Society 1 (Spirou, 2016) or Billy Elliot 2 (Schwarz-Franco, 2016). Finally, recently, also artificial intelligence (AI) has been proposed as a powerful technology able to trigger a societal change from a narrower sectorial level to a higher radical one, and always in an irreversible way (Gruetzemacher and Whittlestone, 2022). For instance, at the narrower level, the artistic domain has been increasingly influenced by different AI applications, including more collaborative forms of artistic production in music (McCormack et al, 2020), in figurative art (Schröter, 2019), and in fashion (Kautish and Khare, 2022).…”

Section: Human-computer Interactionmentioning

confidence: 99%

Defining Transformative Experiences: A Conceptual Analysis

Chirico

Pizzolante²,

Kitson³

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

The concept of transformative experience (TE) has been widely explored by several disciplines from philosophy to neurobiology, and in different domains, from the spiritual to the educational one. This attitude has engendered heterogeneous models to explain this phenomenon. However, a consistent and clear understanding of this construct remains elusive. The aim of this work is to provide an initial comprehensive interdisciplinary, cross-domain, up-to-date, and integrated overview on the concept of TEs. Firstly, all the models and theories on TEs were reviewed to extract and analyze TEs’ main components emerging from different disciplines. Then, this preliminary analysis was integrated with an in-depth examination of redundancies and particularities across domains and disciplines, to provide an integrated theoretical framework of TEs and a preliminary interdisciplinary operational definition of TEs. This examination, in turn, can help organize current research and theories, thus providing suggestions for operationalizing TEs as well as encouraging new interdisciplinary research endeavors.

show abstract

Section: Human-computer Interactionmentioning

confidence: 99%

Defining Transformative Experiences: A Conceptual Analysis

Chirico

Pizzolante²,

Kitson³

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…Gruetzemacher and Whittlestone [ 17 ] distinguish three main classes of transformative effects that technology has on society: A technology becomes so widespread and multi-purpose that it penetrates even the smallest aspects of life. These are called "General Purpose Technologies" (GPTs).…”

Section: Part I: the Radically Transformative Nature Of Aimentioning

confidence: 99%

“…The industrial revolution in particular coincided with clear trajectory changes in metrics of human well-being including measures of physical health, economic well-being, energy capture and technological empowerment. [ 17 ], 5)…”

Section: Part I: the Radically Transformative Nature Of Aimentioning

confidence: 99%

“AI for all” is a matter of social justice

Buccella

2022

AI Ethics

View full text Add to dashboard Cite

Artificial intelligence (AI) is a radically transformative technology (or system of technologies) that created new existential possibilities and new standards of well-being in human societies. In this article, I argue that to properly understand the increasingly important role AI plays in our society, we must consider its impacts on social justice. For this reason, I propose to conceptualize AI’s transformative role and its socio-political implications through the lens of the theory of social justice known as the Capability Approach. According to the approach, a just society must put its members in a position to acquire and exercise a series of basic capabilities and provide them with the necessary means for these capabilities to be actively realized. Because AI is re-shaping the very definition of some of these basic capabilities, I conclude that AI itself should be considered among the conditions of possession and realization of the capabilities it transforms. In other words, access to AI—in the many forms this access can take—is necessary for social justice.

show abstract

“…The latter may eventually cumulate in the possible erosion of the global legal order by the comparative empowerment of authoritarian states [33,34] . Finally, some express concern that continued technological progress might eventually result in increasingly more 'transformative' AI capabilities [3] , up to and including AGI. Indeed, a number of AI researchers expect some variation of 'high-level machine intelligence' to be achieved within the next five decades [2] .…”

Section: Ai Policy: a House Divided?mentioning

confidence: 99%

“…One debate might concern the question, how long-lasting are the consequences of near-term AI issues? If those that care about the longer-term are convinced that these issues will not have long-lasting consequences, or that they would eventually be swamped by the much larger trends and issues [3] , then this could lead them to discount work on near-term AI problems. However, it is important to note that near-term issues are likely to considerably affect the degree to which society is vulnerable to longer-term dangers posed by future advanced AI systems.…”

Section: Examining Potential Grounds For Divergencementioning

confidence: 99%

Bridging the gap: the case for an ‘Incompletely Theorized Agreement’ on AI policy

Stix

Maas

2021

AI Ethics

View full text Add to dashboard Cite

Recent progress in artificial intelligence (AI) raises a wide array of ethical and societal concerns. Accordingly, an appropriate policy approach is urgently needed. While there has been a wave of scholarship in this field, the research community at times appears divided amongst those who emphasize ‘near-term’ concerns and those focusing on ‘long-term’ concerns and corresponding policy measures. In this paper, we seek to examine this alleged ‘gap’, with a view to understanding the practical space for inter-community collaboration on AI policy. We propose to make use of the principle of an ‘incompletely theorized agreement’ to bridge some underlying disagreements, in the name of important cooperation on addressing AI’s urgent challenges. We propose that on certain issue areas, scholars working with near-term and long-term perspectives can converge and cooperate on selected mutually beneficial AI policy projects, while maintaining their distinct perspectives.

show abstract

The transformative potential of artificial intelligence

Cited by 66 publications

References 32 publications

Defining Transformative Experiences: A Conceptual Analysis

Defining Transformative Experiences: A Conceptual Analysis

“AI for all” is a matter of social justice

Bridging the gap: the case for an ‘Incompletely Theorized Agreement’ on AI policy

Contact Info

Product

Resources

About