From Manifesta to Krypta: The Relevance of Categories for Trusting Others

In this paper we consider the special abilities needed by agents for assessing trust based on inference and reasoning. We analyze the case in which it is possible to infer trust towards unknown counterparts by reasoning on abstract classes or categories of agents shaped in a concrete application domain. We present a scenario of interacting agents providing a computational model implementing different strategies to assess trust. Assuming a medical domain, categories, including both competencies and dispositions of possible trustees, are exploited to infer trust towards possibly unknown counterparts. The proposed approach for the cognitive assessment of trust relies on agents' abilities to analyze heterogeneous information sources along different dimensions. Trust is inferred based on specific observable properties (Manifesta), namely explicitly readable signals indicating internal features (Krypta) regulating agents' behavior and effectiveness on specific tasks. Simulative experiments evaluate the performance of trusting agents adopting different strategies to delegate tasks to possibly unknown trustees, while experimental results show the relevance of this kind of cognitive ability in the case of open Multi Agent Systems

Ethical investment in superannuation funds; Can it occur without breaching traditional trust principles?

Ethical investing in commercial activities is a topic which has received considerable attention of late. This has occurred in the areas of company law at all levels, with the concerns of consumers in relation to the production of products, and also in trust law, in particular superannuation trusts. Superannuation Trusts are of particular significance as they have become significant institutional investors in a number of substantial commercial activities. Ethical investment which requires the trustees to take account of issues other than financial when investing is seen to run counter to traditional trust law principles. Relevant issues relating to ethical investing include: human rights and labour concerns, environmental and moral issues such as investing in the alcohol and tobacco industries. This paper focusing upon superannuation law in the Australian and New Zealand jurisdictions considers the investment obligations of trustees in superannuation trusts. Such obligations closely resemble what may be referred to as traditional or core obligations of trustees. It acknowledges that difficulties arise when attempting to include ethical considerations in investment decisions with trust property. Having acknowledged this, the paper in upholding the place of ethical investing in the current environment proceeds to outline a means by which ethical investing can be adopted without compromising the position of trustees in any manner and which still focuses upon the best financial interests of the beneficiaries

For Love and Money: Governance and Social Enterprise

For Love and Money – Governance and Social Enterprise is the result of research commissioned by the Governance Hub, in partnership with the Social Enterprise Coalition, and conducted by third sector specialists from the Open University. It aims to: Identify any characteristics of governance practices specific or distinctive to social enterprises. Identify and examine the governance support needs of social enterprises, the specific sources of governance support they currently access and the limitations and gaps in this provision. Explore how Governance Hub strategies, services and resources, and those of its successor, might be communicated, adapted, or extended to meet the needs of social enterprises

A Self-reflection Tool for Black Trustees on Foundation Boards

A companion to ABFE's Responsive Philanthropy in Black Communities: A Framework and Agenda for Chang

Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction

Recommendation plays an increasingly important role in our daily lives. Recommender systems automatically suggest items to users that might be interesting for them. Recent studies illustrate that incorporating social trust in Matrix Factorization methods demonstrably improves accuracy of rating prediction. Such approaches mainly use the trust scores explicitly expressed by users. However, it is often challenging to have users provide explicit trust scores of each other. There exist quite a few works, which propose Trust Metrics to compute and predict trust scores between users based on their interactions. In this paper, first we present how social relation can be extracted from users' ratings to items by describing Hellinger distance between users in recommender systems. Then, we propose to incorporate the predicted trust scores into social matrix factorization models. By analyzing social relation extraction from three well-known real-world datasets, which both: trust and recommendation data available, we conclude that using the implicit social relation in social recommendation techniques has almost the same performance compared to the actual trust scores explicitly expressed by users. Hence, we build our method, called Hell-TrustSVD, on top of the state-of-the-art social recommendation technique to incorporate both the extracted implicit social relations and ratings given by users on the prediction of items for an active user. To the best of our knowledge, this is the first work to extend TrustSVD with extracted social trust information. The experimental results support the idea of employing implicit trust into matrix factorization whenever explicit trust is not available, can perform much better than the state-of-the-art approaches in user rating prediction

A socio-cognitive and computational model for decision making and user modelling in social phishing

Systems software quality, and system security in particular, is often compromised by phishing attacks. The latter were relatively easy to detect through phishing content filters, in the past. However, it has been increasingly difficult to stop more recent and sophisticated social phishing attacks. To protect the citizens from new types of phishing attacks, software quality engineers need to provide equally sophisticating preventive technology that models people’s reactions. The authors considered the behaviour of people on the Internet from a socio-cognitive perspective and deduced who could be more prone to be spoofed by social phishing techniques. The authors herein propose a computational and interdisciplinary metamodelling methodology, which can assist in capturing and understanding people’s interactive behaviour when they are online. Online behaviour can reveal Internet users’ knowledge, information, and beliefs in a given social context; these could also constitute significant factors for trust in social phishing circumstances which, in turn, can provide valuable insights and decision making meta-knowledge for recognition of potential victims of phishers. The proposed modelling approach is illustrated and explained using real-life phishing cases. This meta-model can i) help social computing and phishing researchers to understand users’ trust decisions from a socio-cognitive perspective, and ii) open ways to integrate artificial intelligence design techniques within software quality management practices in order to protect citizens from being spoofed by social phishing attacks. Thus, this software design quality approach will increase system security as a proactive maintenance strategy

Impact at Scale: Policy Innovation for Institutional Investment With Social and Environmental Benefit

Explores policy options to maximize impact investing opportunities for institutional investors and accelerate the development of impact investing practices and products. Presents case studies of and insights from investors and service providers

Pension supervision : understanding international practice and country context

This paper proposes an approach to classifying and measuring the primary elements of private pension supervision, and undertakes an evaluation using a representative set of countries. The analysis considers how supervision methods and style relate to the basic design of pension systems, and the broader environment in which they operate. Supervisory systems are shown to include six main elements, with considerable variation among systems in the scope, and intensity of activities within each element. The analysis concludes that there are discernible relationships between supervisory methods, and the context in which they are applied. The level of economic development, depth of capital markets, underlying legal framework presence of mandates, and number of funds supervised are found to be associated with depth, and intensity of supervision activities. These findings support the principle that the organization, and management of private pension supervision is significantly derived from the context, and environment in which these systems operate.