Delegating and Distributing Morality: Can We Inscribe Privacy Protection in a Machine?

This paper addresses the question of delegation of morality to a machine, through a consideration of whether or not non-humans can be considered to be moral. The aspect of morality under consideration here is protection of privacy. The topic is introduced through two cases where there was a failure in sharing and retaining personal data protected by UK data protection law, with tragic consequences. In some sense this can be regarded as a failure in the process of delegating morality to a computer database. In the UK, the issues that these cases raise have resulted in legislation designed to protect children which allows for the creation of a huge database for children. Paradoxically, we have the situation where we failed to use digital data in enforcing the law to protect children, yet we may now rely heavily on digital technologies to care for children. I draw on the work of Floridi, Sanders, Collins, Kusch, Latour and Akrich, a spectrum of work stretching from philosophy to sociology of technology and the “seamless web” or “actor–network” approach to studies of technology. Intentionality is considered, but not deemed necessary for meaningful moral behaviour. Floridi’s and Sanders’ concept of “distributed morality” accords with the network of agency characterized by actor–network approaches. The paper concludes that enfranchizing non-humans, in the shape of computer databases of personal data, as moral agents is not necessarily problematic but a balance of delegation of morality must be made between human and non-human actors

In-work poverty in the East Midlands

Research that explores the nature and scale of in-work poverty in the East Midlands, using several established measures

Diabetic Septic Foot in Omdurman Teaching Hospital

Objective: To audit the management of diabetic septic foot [DSF] lesions in Omdurman Teaching Hospital, usingWagner classification. Patients and methods: This is a retrospective study on 208 patients with DSF admitted to Omdurman Teaching Hospital, Sudan between June 2006 and May 2007. Data were analyzed manually Results: The male to female ratio was 2:1. The mean age± SD was 56 ± 12.35 year. 16.8% patients were grade 1. 33 (15.9%) patients were grade 2. grades 3, 4, 5 patients were 66 (37 %), 38 (18.3%) and 36 (17.3%) respectively. Major lower limb amputation and mortality were 19.2%, and 6.7% respectively.Conclusion: Preventive measures for patients at risk are highly needed as well early presentation isencouraged when ulcer develops in diabetic foot to avoid subsequent complications.Key words: Diabetes Mellitus, Diabetic septic foot, amputatio

A review of expert systems for chromatography

Expert systems for chromatography are reviewed. A taxonomy is proposed that allows present (and future) expert systems in this area to be classified and facilitates an understanding of their inter-relationship. All the systems are described focusing on the reasons for their development, what their purpose was and how they were to be used. The engineering methods, knowledge representations, tools and architectures used for the systems are compared and contrasted in a discussion covering all the stages of the development life cycle of expert systems. The review reveals that too often developers of expert systems for chromatography do not justify their decisions on engineering matters and that the literature suggests that many ideas advocated by knowledge engineers are not being used

Towards an expert system for enantioseparations: induction of rules using machine learning

A commercially available machine induction tool was used in an attempt to automate the acquisition of the knowledge needed for an expert system for enantioseparations by High Performance Liquid Chromatography using Pirkle-type chiral stationary phases (CSPs). Various rule-sets were induced that recommended particular CSP chiral selectors based on the structural features of an enantiomer pair. The results suggest that the accuracy of the optimal rule-set is 63% + or - 3% which is more than ten times greater than the accuracy that would have resulted from a random choice

Gay men, Gaydar and the commodification of difference

PurposeTo investigate ICT mediated inclusion and exclusion in terms of sexuality through a study of a commercial social networking website for gay menDesign/methodology/approachThe paper uses an approach based on technological inscription and the commodification of difference to study Gaydar, a commercial social networking site.FindingsThrough the activities, events and interactions offered by Gaydar, we identify a series of contrasting identity constructions and market segmentations which are constructed through the cyclic commodification of difference. These are fuelled by a particular series of meanings attached to gay male sexualities which serve to keep gay men positioned as a niche market.Research limitations/implicationsThe research centres on the study of one, albeit widely used, website with a very specific set of purposes. The study offers a model for future research on sexuality and ICTs.Originality/valueThis study places sexuality centre stage in an ICT mediated environment and provides insights into the contemporary phenomenon of social networking. As a sexualized object, Gaydar presents a semiosis of politicized messages that question heteronormativity while simultaneously contributing to the definition of an increasingly globalized, commercialized and monolithic form of gay male sexuality defined against ICT

Using inductive logic programming to discover knowledge hidden in chemical data

This paper demonstrates how general purpose tools from the field of Inductive Logic Programming (ILP) can be applied to analytical chemistry. As far as these authors are aware, this is the first published work to describe the application of the ILP tool Golem to separation science. An outline of the theory of ILP is given, together with a description of Golem and previous applications of ILP. The advantages of ILP over classical machine induction techniques, such as the Top-Down-Induction-of-Decision-Tree family, are explained. A case-study is then presented in which Golem is used to induce rules which predict, with a high accuracy (82%), whether each of a series of attempted separations succeed or fail. The separation data was obtained from published work on the attempted separation of a series of 3-substituted phthalide enantiomer pairs on (R)-N-(3,5-dinitrobenzoyl)-phenylglycine