Rediscovering artificial intelligence and law: an inadequate jurisprudence?

Headlines suggesting that Google scientists had developed the first computer programme capable of learning a wide variety of tasks independently, in what has been hailed as a significant step towards ‘true artificial intelligence’¹1 Accessed February 26, 2015. http://www.theguardian.com/technology/2015/feb/25/google-develops-computer-program-capable-of-learning-tasks-independently. may or may not presage a new era of artificial intelligence (AI) research. Nevertheless, they suggest a need to reconsider the story of AI in law. While significant changes have taken place in the application of information technology to law-work, these have resulted mainly from ordinary information technology processes such as data processing, data storage, retrieval and management in combination with the information rich, rapid and global communication and networking capabilities of the Internet. However, when information technology has been applied to deeper legal processes, which involve the very nature of law, the result has not been very successful. This is especially so in relation to the application of AI systems to law. Philip Leith blamed the meagre and unsatisfactory results of costly AI and law research on faulty jurisprudence and especially on almost exclusive reliance on analytical positivism and ignorance of user needs and requirements. Many involved with AI and law still refuse to acknowledge that there are underlying problems with the way they conceptualise the nature of legal reasoning. Does AI in law have a future then? This article explores recent nuanced approaches to AI and law research and suggests the need for rethinking the jurisprudence that underpins AI and law and in particular to consider the realist social economic and political context in which AI and law works.     

Small Firms’ Formalisation: The Stick Treatment

Firm informality is pervasive throughout the developing world, Bangladesh being no exception. The informal status of many firms substantially reduces the tax basis and therefore impacts the provision of public goods. The literature on encouraging formalisation has predominantly focused on reducing the direct costs of formalisation and has found negligible impacts of such policies. In this paper, we focus on a stick intervention, which to the best of our knowledge is the first one in a developing country setting that deals with the most direct and dominant form of informality, that is registration with the tax authority with a direct link to the country’s potential revenue base and thus public goods provision. We implement an experiment in which randomly selected firms are visited by tax representatives who deliver an official letter from the Bangladesh National Tax Authority stating that the firm is not registered and the consequential punishment if the firm fails to register. We find that the intervention increases the rate of registration among treated firms, while firms located in the same market but not treated do not seem to respond significantly. We also find that only larger revenue firms at baseline respond to the threat and register. Our findings have at least two important policy implications: i) the enforcement angle, which could be an important tool to encourage formalisation; and ii) targeting of government resources for formalisation to high-end informal firms. The effects are generally small in levels and this leaves open the question of why many firms still do not register.     

CLR, ‘rebellious lawyering’, and justice education: A few lessons from Bangladesh

Jindal Global Law Review - Since the mid-1980s, there has been a noticeable movement in legal education, especially in the common law countries, to transform it into justice education. While...     

Intimate partner violence and unintended pregnancy among bangladeshi women

This study examined the relationship between intimate partner violence (IPV) and unintended pregnancy using data from women reporting IPV in the 2007 Bangladesh Demographic Health Survey. The analysis included 4,695 married women, aged 15 to 40 years, who had at least one birth in the last 5 years. Bivariate and multiple logistic regression analyses were performed to assess the relationship between IPV and pregnancy. About one third (30.4%) of women were abused physically and/or sexually and about one third (30.9%) of their births in the last 5 years were unintended. Compared with women who suffered no IPV, women who were abused sexually had a 1.64-fold increased risk of unintended pregnancy, which is higher than those who suffered physical abuse only (odds ratio: 1.35). The prevalence of unintended pregnancy among those who experienced severe physical violence was 1.60 times higher than those who reported no abuse. The findings indicate a significant relationship between IPV and unintended pregnancy among Bangladeshi women.     

Technology‐Driven Alteration of Nonverbal Cues and its Effects on Negotiation

A person’s appearance, identity, and other nonverbal cues can substantially influence how one is perceived by a negotiation counterpart, potentially impacting the outcome of the negotiation. With recent advances in technology, it is now possible to alter such cues through real‐time video communication. In many cases, a person’s physical presence can explicitly be replaced by 2D/3D representations in live interactive media. In other cases, technologies such as deepfake can subtly and implicitly alter many nonverbal cues—including a person’s appearance and identity—in real time. In this article, we look at some state‐of‐the‐art technological advances that can enable such explicit and implicit alterations of nonverbal cues. We also discuss the implications of such technology for the negotiation landscape and highlight ethical considerations that warrant deep, ongoing attention from stakeholders.     

Economics of Polluter Pays Principles for Mitigating Social Costs of Electricity: A Search for an Optimal Liability Share

To deal with externalities associated with electricity generation, under the Polluter Pays Principles (PPP), companies can be made to pay the compliance costs and then pass these costs incurred on to the end-users by charging a higher price per kWh of electricity used. However, there is a need for an optimal liability scheme, in terms of economic efficiency, equity and ethics in a world of favor seeking politics. With implicit weighting of welfare gains and losses to society, we developed supply-demand models. By incorporating plausible parameter values into the models, the optimal liability shares fell to less 100 percent (full) liability. However, the model is very sensitive to changes in the parameter values.