Computing Information for Intelligent Society: Info-Computational Approach to Decision Making

With the powerful development of pervasive information-based technology, especially intelligent computing, the question arises: How do we imagine a future highly developed and humane (human-centered) intelligent information society? The answer will of course vary depending on time perspective. In a shorter-time perspective, we can try to anticipate based on the existing trends in the development. The first step is to understand the current state of the art of intelligent technology uses towards intelligent society. A longer-term perspective is more uncertain, as new intelligent technologies, especially in combination with biotechnologies and human augmentation and enhancement will be changing both the ways of being human as wellas the structures and behaviors of human societies, as argued by (Wu & Da, 2020) under the heading “The Impact of Intelligent Society on Human Essence and the New Evolution of Humans”. Wu and Da anticipate that the development of widely used AI technologies will lead to the evolution of the “human essence” that will lead to the convergence between social and biological evolution. That is a radically optimistic view that declares equality between the increase in human freedom with the disappearance of the necessity of regular human labor as a means to assure physical existence. In the future intelligent automated society, machines will secure the material basis of existence for everybody. It will remain to humans how to meaningfullyuse this newly conquered space of freedom

Autonomous Systems as Legal Agents: Directly by the Recognition of Personhood or Indirectly by the Alchemy of Algorithmic Entities

The clinical manifestations of platelet dense (δ) granule defects are easy bruising, as well as epistaxis and bleeding after delivery, tooth extractions and surgical procedures. The observed symptoms may be explained either by a decreased number of granules or by a defect in the uptake/release of granule contents. We have developed a method to study platelet dense granule storage and release. The uptake of the fluorescent marker, mepacrine, into the platelet dense granule was measured using flow cytometry. The platelet population was identified by the size and binding of a phycoerythrin-conjugated antibody against GPIb. Cells within the discrimination frame were analysed for green (mepacrine) fluorescence. Both resting platelets and platelets previously stimulated with collagen and the thrombin receptor agonist peptide SFLLRN was analysed for mepacrine uptake. By subtracting the value for mepacrine uptake after stimulation from the value for uptake without stimulation for each individual, the platelet dense granule release capacity could be estimated. Whole blood samples from 22 healthy individuals were analysed. Mepacrine incubation without previous stimulation gave mean fluorescence intensity (MFI) values of 83±6 (mean ± 1 SD, range 69–91). The difference in MFI between resting and stimulated platelets was 28±7 (range 17–40). Six members of a family, of whom one had a known δ-storage pool disease, were analysed. The two members (mother and son) who had prolonged bleeding times also had MFI values disparate from the normal population in this analysis. The values of one daughter with mild bleeding problems but a normal bleeding time were in the lower part of the reference interval

A dual process account of creative thinking

This article explicates the potential role played by type 1 thinking (automatic, fast) and type 2 thinking (effortful, logical) in creative thinking. The relevance of Evans's (2007) models of conflict of dual processes in thinking is discussed with regards to creative thinking. The role played by type 1 thinking and type 2 thinking during the different stages of creativity (problem finding and conceptualization, incubation, illumination, verification and dissemination) is discussed. It is proposed that although both types of thinking are active in creativity, the extent to which they are active and the nature of their contribution to creativity will vary between stages of the creative process. Directions for future research to test this proposal are outlined; differing methodologies and the investigation of different stages of creative thinking are discussed. © Taylor & Francis Group, LLC

Artificially Intelligent Boards and the Future of Delaware Corporate Law

The prospects for Artificial Intelligence (AI) to impact the development of Delaware corporate law are at once over- and under-stated. As a general matter, claims to the effect that AI systems might ultimately displace human directors not only exaggerate the foreseeable technological potential of these systems, but also tend to ignore doctrinal and institutional impediments intrinsic to Delaware\u27s competitive model – notably, heavy reliance on nuanced and context-specific applications of the fiduciary duty of loyalty by a true court of equity. At the same time, however, there are specific applications of AI systems that might not merely be accommodated by Delaware corporate law, but perhaps eventually required. Such an outcome would appear most plausible in the oversight context, where fiduciary loyalty has been interpreted to require good faith effort to adopt a reasonable compliance monitoring system, an approach driven by an implicit cost-benefit analysis that could lean decisively in favor of AI-based approaches in the foreseeable future. This article discusses the prospects for AI to impact Delaware corporate law in both general and specific respects and evaluates their significance. Section II describes the current state of the technology and argues that AI systems are unlikely to develop to the point that they could displace the full range of functions performed by human boards in the foreseeable future. Section III, then, argues that even if the technology were to achieve more impressive results in the near-term than I anticipate, acceptance of non-human directors would likely be blunted by doctrinal and institutional structures that place equity at the very heart of Delaware corporate law. Section IV, however, suggests that there are nevertheless discrete areas within Delaware corporate law where reliance by human directors upon AI systems for assistance in board decision-making might not merely be accommodated, but eventually required. This appears particularly plausible in the oversight context, where fiduciary loyalty has become intrinsically linked with adoption of compliance monitoring systems that are themselves increasingly likely to incorporate AI technologies. Section V briefly concludes

Banning the bulb: institutional evolution and the phased ban of incandescent lighting in Germany

Much academic attention has been directed at analysing energy efficiency investments through the lens of ‘behavioural failure’. These studies have challenged the neoclassical framing of regulation which emphasises the efficiency benefits of price based policy, underpinned by the notion of rational individual self-mastery. The increasing use of a regulatory ban on electric lamps in many countries is one of the most recent and high profile flash points in this dialectic of ‘freedom-versus-the-state’ in the public policy discourse. This paper interrogates this debate through a study of electric lamp diffusion in Germany. It is argued that neoclassical theory and equilibrium analysis is inadequate as a tool for policy analysis as it takes the formation of market institutions, such as existing regulations, for granted. Further still, it may be prone to encourage idealistic debates around such grand narratives which may in practice simply serve those who benefit most from the status quo. Instead we argue for an evolutionary approach which we suggest offers a more pragmatic framing tool which focuses on the formation of market institutions in light of shifting social norms and political goals—in our case, progress towards energy efficiency and environmental goals

The Acceptance of AI-based Recommendations: An Elaboration Likelihood Perspective

Algorithmic advice has been shown to outperform human reasoning in various domains. However, prior research suggests that humans might be reluctant to accept it and proposed multiple avenues to increase the acceptance. To structure these approaches and potentially shed light on inconclusive results of prior studies, we propose a novel perspective on the acceptance of AI-based recommendations based on the elaboration likelihood model (ELM). This research in progress paper introduces our perspective on AI-based recommendations as persuasive messages, suggests the ELM as a promising approach to guide interventions aiming to increase their acceptance, and develops testable hypotheses to evaluate the model. We, thereby, include the moderating effects of individual and situational variables