How do you prevent the recommendations from the system (about career goal, or suitable learning interventions) and its assessments (for example about a user’s management style) becoming self-fulfilling prophecies? How can you mitigate the risk of limiting human agency and autonomy, if using such recommendation system? This article provides some first ideas.
News & Events of DEVELOP
With this free webinar, we invite you to discuss the following questions with us: Why is it important to assess and develop workplace relevant soft skills? Which traditional approaches exist to assess soft skills? Why are games suitable for soft skills training and assessment? How does such game for soft skills training and assessment look like? We are glad to welcome you to the webinar!
One of the aims of DEVELOP is to apply artificial intelligence (AI) planning techniques to recommend learning opportunities for career development. More specifically, DEVELOP aims to identify potential sequences of learning interventions (e.g. eLearning courses, mentorship, changing teams) that will enable an individual to make progress towards the position(s) to which they aspire. This article presents DEVELOP's approach to make plan recommendations scrutable to the individual, which means the recommendations themselves and the reasons for the recommendations should be understandable to human users.
In our previous articles, we highlighted the benefits of social technologies adoption in the “Enterprise 2.0” era and discussed the potentials that workplace social interactions data has to offer as a result of social technologies. In this article, we look into the benefits of social capital from employee perspective and discuss an integrative model of social capital sources, definitions, measures and values.