An emerging topic in artificial intelligence (AI) projects is project teams’ responsibilities for developing ethical AI systems. Consequently, there are many ethical guidelines and principles that project teams should take into consideration. For example, Jobin, Ienca, and Vayena performed a content analysis of 84 AI ethical guidelines. 84. Ryan and Stahl translated those guidelines into… Continue reading The intersection between project success factors and AI ethical principles
Gloria J. Miller has a book chapter published by Springer entitled Artificial Intelligence Project Success Factors—Beyond the Ethical Principles in “Information Technology for Management: Business and Social Issues”. It details her paper that was presented at the FedCSIS 2021 conference in September 2021. The individual chapter is available as Open Access under a Creative Commons Attribution… Continue reading #AI Project Success — Book Chapter Published
These days, the terminology used for artificial intelligence can include any number of data science sub-fields, including business intelligence, big data analytics, or other decision support systems. Within big data analytics, the technique and method of machine learning can also be a distinguishing factor, e.g., natural language processing, neural networks, computer vision, conversational. As project… Continue reading Data science: BI, Big Data Analytics, AI Competencies
“Are artificial intelligence and machine learning the same thing?” is one of the most popular search request on Google. So I created this egg as an overview to understand it myself. The goal of Artificial Intelligence (AI) is to create an intelligent computing system to solve complex problems by learning from data. AI does not… Continue reading Are Artificial Intelligence and Machine Learning the same thing?
People impacted by algorithms developed in artificial intelligence (AI) and big data projects want fairness, meaning moral or “just” treatment from algorithmic decision-making. However, fairness or the perception of fairness has several subjective components out of the scope of any development project, including pre-established attitudes and emotional reactions to algorithmic outcomes. Moreover, end-users understand, perceive,… Continue reading Connecting Project Teams to Data Driven Decision-Making and Ethical Artificial Intelligence
The algorithms implemented through artificial intelligence (AI) and big data projects are used in life-and-death situations. While research exists to address varying aspects of moral decision-making with algorithms, the definition of project success is not readily available. Nevertheless, researchers place the burden of responsibility for ethical decisions from AI systems on the system developers. Using… Continue reading Best Paper Award at FedCSIS 2021: ‘Moral Decision-Making with Algorithms: Artificial Intelligence Project Success Factors’ by Gloria Miller
This month, I attended the European Group on Organizational Studies (EGOS) conference. There were several thought-provoking sessions in the sub-theme on new actors, responsibilities and forms of organizing in the age of digital transformations. In our breakout on accountability, Hedwik Dissenha Giesel presented ideas on using blockchain for business sustainability. Gozal Ahmadova presented research on… Continue reading Thoughts on the #EGOS2021 Conference
What are the gaps in accountability between algorithm projects and the society impacted by algorithms? Gloria Miller will be presenting The Deficits in Stakeholder Accountability for Artificial Intelligence Projects at the European Group for Organizational Studies (EGOS ) on Thursday, July 08, 16:00 to 18:00. This study uses a stakeholder accountability model and network analysis to… Continue reading The Deficits in Stakeholder Accountability for Artificial Intelligence Projects – A presentation by Gloria Miller at the European Group for Organizational Studies