Artificial super intelligence: beyond rhetoric

Gill, Karamjit S.

doi:10.1007/s00146-016-0651-x

Cited by 32 publications

(15 citation statements)

References 2 publications

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“…This is not an efficient and convenient way of controlling smart environments since the environment conditions and the behavior and habits of the residents are constantly changing. The real "intelligence", or super-intelligence [99,100], means not only simple automation (smart behavior), but also incorporates AI methods for observance, learning, adaptation, prediction and decision making, taking into account changing habits and behavior of the residents of the intelligent environment and the state of those residents and that environment.…”

Section: The Need For Machine Learning and Intelligent Decision Makinmentioning

confidence: 99%

A Review of Internet of Things Technologies for Ambient Assisted Living Environments

2019

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The internet of things (IoT) aims to extend the internet to real-world objects, connecting smart and sensing devices into a global network infrastructure by connecting physical and virtual objects. The IoT has the potential to increase the quality of life of inhabitants and users of intelligent ambient assisted living (AAL) environments. The paper overviews and discusses the IoT technologies and their foreseen impacts and challenges for the AAL domain. The results of this review are summarized as the IoT based gerontechnology acceptance model for the assisted living domain. The model focuses on the acceptance of new technologies by older people and underscores the need for the adoption of the IoT for the AAL domain.

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Section: The Need For Machine Learning and Intelligent Decision Makinmentioning

confidence: 99%

A Review of Internet of Things Technologies for Ambient Assisted Living Environments

2019

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“…These pose, at present, no existential threat to humans (Bentley 2018), although relative lesser threats and problems in the design and application of these narrow AI have, in recent times, been the subject of increased scrutiny. 9 For instance, narrow AI and related ICT technologies have been misused for hacking, fake news and have been criticized for being biased, for invading privacy and even for threatening democracy [see Cockburn et al (2017), Gill (2016), Helbing et al (2017), Susaria (2018), Sharma (2018)]. The potential for narrow AI applications to automate jobs and, thus, raise unemployment and inequality have led to a growing debate and scholarly literature [see Acemoglu and Restrepo (2017), Bessen (2018), Brynjolfsson and McAfee (2015), Frey and Osborne (2017), Ford (2016)].…”

Section: Related Literaturementioning

confidence: 99%

The race for an artificial general intelligence: implications for public policy

Naudé

Dimitri

2019

AI & Soc

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An arms race for an artificial general intelligence (AGI) would be detrimental for and even pose an existential threat to humanity if it results in an unfriendly AGI. In this paper, an all-pay contest model is developed to derive implications for public policy to avoid such an outcome. It is established that, in a winner-takes-all race, where players must invest in R&D, only the most competitive teams will participate. Thus, given the difficulty of AGI, the number of competing teams is unlikely ever to be very large. It is also established that the intention of teams competing in an AGI race, as well as the possibility of an intermediate outcome (prize), is important. The possibility of an intermediate prize will raise the probability of finding the dominant AGI application and, hence, will make public control more urgent. It is recommended that the danger of an unfriendly AGI can be reduced by taxing AI and using public procurement. This would reduce the pay-off of contestants, raise the amount of R&D needed to compete, and coordinate and incentivize co-operation. This will help to alleviate the control and political problems in AI. Future research is needed to elaborate the design of systems of public procurement of AI innovation and for appropriately adjusting the legal frameworks underpinning high-tech innovation, in particular dealing with patenting by AI.1 See: https ://www.wefor um.org/agend a/2018/01/googl e-ceo-ai-willbe-bigge r-than-elect ricit y-or-fire.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…First, the disconnection between AI's popular vision of intelligent robots, and the reality of faceless and non-cognisant algorithms, is rhetorically dissonant. This reduces the legibility of devices and services which use AI (Gill, 2016). Second, AIs reflect the data which they are trained on, and those datasets are often unrepresentative, inaccurate or biased (Amershi et al, 2015(Amershi et al, , 2019-qualities reflected in the AI's trained on them.…”

Section: Introductionmentioning

confidence: 99%