A revolutionary AI Driven Workplace Anti-Bully System, Predicting, Or Reporting Incidents Through Machine Learning

由马修·巴尼特和安德鲁·丘奇创立的Dark Matter是一家总部位于英国的中小企业，旨在解决目前在越来越多的家庭工作环境中提供反欺凌和骚扰策略方面的挑战。该项目的创始人拥有IT咨询、大数据NLP和ML以及福利项目的背景，他们提议开发一种机器学习产品，旨在减少欺凌和骚扰，并利用自然语言处理。该项目可以在很大程度上改善员工的福利，并支持组织解决不平等和歧视问题的责任。Dark Matter预计第五年的项目后收入为510万GB。**范围/摘要**在许多情况下，当前的反欺凌和骚扰预防方法没有数字化，也没有装备来满足日益增长的家庭工作环境中的员工需求。Dark Matter的软件将通过使用NLP来分析员工的行为并在保护和/或福利受到阻碍时进行标记来解决这一问题。**创新和EDI考虑**Dark Matter的远程员工/学习者欺凌和骚扰软件为标准PC提供注重道德的收听应用程序，标准PC收集书面/口头数据并将其安全地传输到其高级分析平台。由于数据源的敏感性，它托管在安全的本地基础设施上。NLP、神经网络和机器学习模型的发展达到了以前无法获得的深度，确保了向关键字和短语定向的解决方案的开发。员工的情绪和情绪可以根据欺凌和骚扰行为基线进行分类，然后在标记出担忧的地方提供自动警报。此外，随着时间的推移，可以绘制和分析团队层面的行为模式，以确定与特定个人的沟通的包容性和一致性有关的异常情况。我们的建议中没有发现可能或无意中存在的可能对任何一个性别或族裔群体产生负面影响的种族/族裔/性别偏见。这将在整个项目中继续受到监控。**市场机会和可持续性**与工作有关的欺凌和骚扰正在达到流行的程度。目前还没有全面监控和保护远程工作团队免受这两种情况影响的解决方案。DarkMatter的创新将率先推向市场。DarkMatter的创新将有助于保持远程工作的高水平，从而减少对商务旅行及其相关碳足迹的需求。全球和英国的年度可寻址/可服务市场分别为GB 818.28M/GB 818.28M和GB 145M/GB 50M(CAGR：7.1%2019-2027；洞察合作伙伴)。

Founded by Matthew Barnett and Andrew Church, DarkMatter is a UK-based SME that intends to address the current challenges in delivering anti-bully and harassment strategies in the increasing environment of homeworking. Offering backgrounds in IT consultancy, Big Data NLP and ML, and Wellbeing Programmes, the founders of this project propose to develop a machine learning product, which intends to reduce bullying and harassment, and utilise natural language processing. This project could improve employee wellbeing on a wide scale and support organisations' responsibility to address issues of inequality and discrimination. DarkMatter anticipates a Year-5 post-project revenue of £5.1M.**Scope/Summary**Current approaches to anti-bully and harassment prevention are, in many cases, not digitalised and not equipped to address employee needs in the increased landscape of homeworking. DarkMatter's software will address this issue by using NLP to analyse employees' behaviour and flag when safeguarding and/or wellbeing is being impeded.**Innovation and EDI Considerations**DarkMatter's remote worker/learner bullying and harassment software offers an ethically-focused listening application to standard PCs, which harvests and securely transmits written/spoken data to its advanced analytics platform. Due to the sensitivity of the data sourced, this is hosted on secure on-premise infrastructure. The development of NLP, Neural Networks, and Machine Learning models, at a depth that was previously unavailable, has ensured the development of a solution that vectors keywords and phrases. Employee sentiments and emotions can be classified against a bullying and harassment behavioural baseline, and subsequently providing an automated alerting where a concern is flagged. In addition, team level behavioural patterns may be mapped and analysed over time to identify abnormalities relating to the inclusion and consistency of communication with specific individuals.There are no identified potential or inadvertent racial/ethnic/gender biases within our proposal that could negatively affect any one gender or ethnic group. This will continue to be monitored throughout the project.**Market Opportunity and Sustainability**Work-related bullying and harassment are reaching epidemic levels. There is currently no solution to holistically monitor and safeguard remote working teams against either. DarkMatter's innovation will be first to market.DarkMatter's innovation will help to maintain the heightened levels of remote working and, consequently, reduce the need for business travel and its associated carbon footprint.The global and UK annual addressable/serviceable markets are £818.28M/£818.28M and £145M/£50M, respectively (CAGR: 7.1% 2019-2027; The Insight Partners).