Beyond Self-Report: Neurological, Biological and Physiological Markers and using Artificial Intelligence to inform our understanding of Personality
June 18 @ 9:50 am - 2:30 pm
Modern AI systems under the hood: A driver’s guide.
Pavlos Stampoulidis, Psycholate.
AI systems are already everywhere and we need to understand what they are and how they work. This way we will arrive at a better understanding of their strengths, their limitations and ultimately the dangers they pose to the survival of our race. What exactly is machine learning? How is it different to statistical models of prediction? What is a cost function, gradient descent, back-propagation, convolution and other terms? How does a neural network learn? Finally, how can someone start using them to understand people? What types of research can we do today?
Beyond Self Report: Neurological, Biological and Physiological Markers of Personality And The Use of These Assessment Methods in the Workplace
Ben Williams CPsychol, AFBPsS, MA (Oxon), MSc., Founder and MD of Sten10.
Self report questionnaires are psychologist’s ‘go-to’ method for appraising people’s personality preferences; but they are not without their drawbacks. Whether it is differing levels of self-insight, an unwillingness to be truthful, alternative interpretations of the statements to be rated or other external influences such as temporary mood states; there are plenty of potential sources of error when using this technique to assess personality. However, there are an alternative range of methodologies that do away with self-report and seem to do reasonably well at identifying these same traits, especially when paired with advanced predictive algorithms. Whether it be voice analysis, eye tracking, facial muscle movement recognition or the assessment of ‘micro behaviours’ via the paradata gained from playing a game: could these methods be the answer to gain greater insight into people’s true personalities? And how might they be applied – and their use defended – in a workplace context? Ben will present a selection of methods currently being touted for use in an organisational setting and review the strength of evidence for their use, along with an assessment of their practical usefulness.
Understanding the Behaviour of AI: a Mulitdisciplinary Approach to ‘Thinking’ Technologies for Accurate Behavioural Analytics
Maria Kolitsida, Founder & CEO, WinningMinds
Content AI technologies have been perceived as the new tools that are capable of supporting organisations to drive productivity and growth. AI analytics can increase business value more than traditional analytics and rule-based systems, by providing additional content to the decision data pool. Conversation is the richest data source to understand the impact of
behaviour in organisations. They provide insights into how human collaboration and ways of interaction relate to business outcomes. As organisations enter the Reasoning and Adaptability era they need to utilize analytics tools to gain an in-depth understanding of interpersonal interactions and organisational dynamics to transform human capital management.