Exploring the Business Case for Responsible Research and Innovation

剑桥分析事件展示了数据分析和智能信息系统带来的责任挑战，以及它们被滥用的潜在影响，包括挪用个人数据、对机构失去信任以及对企业的声誉和财务损害。同时，智能信息系统为公司提供了新的机会，通过新的能力发展竞争优势。Hirevue等新兴技术表明了潜在的新技术，它们在个人数据处理以及业务和战略人力资源管理方面的影响(例如，在就业法框架内操作新系统所需的能力)，以及以前不为人知的技术在多大程度上迅速进入主流使用，其后果不可预测。负责任地创新的组织是否会体验到改善的结果，这一问题是不确定的，反映了企业社会责任(CSR)和多样性管理等领域的长期辩论，即是否存在商业责任，以及是否存在责任的道德和法律理由，以及如果存在，实现利益的条件。这一领域的研究有可能影响学术领域以外的领域--负责任的技术管理的商业好处的证据，对公司、人力资源和信息系统专业人员以及寻求促进负责任使用技术和个人数据的非政府组织都有兴趣。我要解决的研究问题是，与德蒙福特大学计算与社会责任中心密切合作的内容如下：对于实施算法技术的组织来说，与创新相关的负责任实践有哪些好处？我将重点介绍人力资源管理信息系统，以及个人(例如员工)数据的使用。

TThe Cambridge Analytica episode shows the responsibility challenges posed by data analytics and smart information systems, and the potential impact of their misuse including misappropriation of personal data, loss of trust in institutions, and reputational and financial damage to businesses.At the same time, smart information systems offer new opportunities for firms to develop competitive advantage through new capabilities. Emerging technologies such as Hirevue indicate the potential new technologies offer, their implications in terms of personal data processing and operational and strategic human resource management (for example, the competencies required to operate new systems within the framework of employment law), and the extent to which previously-unknown technologies rapidly move into mainstream use with unpredictable consequences.Responsible Research and Innovation offers a new way to consider issues of responsibility in relation to the management of information systems. The question of whether organisations that innovate responsibly will experience improved results is uncertain, and mirrors long-standing debates in areas such as Corporate Social Responsibility (CSR) and diversity management as to whether there is a business, as well as moral and legal case for responsibility, and if so, the conditions in which benefits can be achieved.Research in this area has the potential to impact beyond the academic sphere - evidence of business benefits of responsible technology management is of interest both to companies, HR and information systems professionals, and to non-governmental organisations seeking to promote responsible use of technology and personal data.The research question I will tackle, working in close collaboration with the Centre for Computing and Social Responsibility at De Montfort University is the following:Which benefits are responsible innovation-related practices associated with for organisations implementing algorithmic technologies?I will focus on Human Resource Management information systems, and use of personal (for example employee) data.