Unexpected disruptions can evoke maladaptive tendencies in individuals and lead to questionable or deviant behaviors. Novel technologies, powered by artificial intelligence (AI) algorithms, bear the capability to lower the discernibility and detection of such questionable behaviors (QBs) and can empower individuals to engage in QBs during a major disruption. We situate our examination in the educational context in the United States to examine the role of such novel AI enabled technologies in enabling QBs among strained individuals. Our findings present rise in agency of novel AI-enabled technologies in aiding QBs during major disruptions. We aim to develop discussion on the need and approaches for immediate attention by researchers, educational institutions, platforms, and policy makers to this unintended rise in agency that novel AI-enabled technologies exert over QBs.
Unexpected disruptions can evoke maladaptive tendencies in individuals and lead to questionable or deviant behaviors. Novel technologies, powered by artificial intelligence (AI) algorithms, bear the capability to lower the discernibility and detection of such questionable behaviors (QBs) and can empower individuals to engage in QBs during a major disruption. We situate our examination in the educational context in the United States to examine the role of such novel AI enabled technologies in enabling QBs among strained individuals. Our findings present rise in agency of novel AI-enabled technologies in aiding QBs during major disruptions. We aim to develop discussion on the need and approaches for immediate attention by researchers, educational institutions, platforms, and policy makers to this unintended rise in agency that novel AI-enabled technologies exert over QBs.
Despite the increased adoption of AI based algorithms in recruitment, their opacity has raised several debates, and have motivated governance standards directed toward transparent and accountable use of AI. Our research examines the psychological and behavioural reactions among candidates elicited because of AI based systems. Intended and unintended consequences of AI driven transparency are examined for the candidate and the organization.
Despite the increased adoption of AI based algorithms in recruitment, their opacity has raised several debates, and have motivated governance standards directed toward transparent and accountable use of AI. Our research examines the psychological and behavioural reactions among candidates elicited because of AI based systems. Intended and unintended consequences of AI driven transparency are examined for the candidate and the organization.
AI-enabled technology artefacts, such as conversational agents, have started to pervade our day-to-day lives. Our research examines the use of AI-enabled conversational agents in collaborative teams within organizations to understand how their adoption in such contexts disrupt individual teammates attitudes and behaviors.
AI-enabled technology artefacts, such as conversational agents, have started to pervade our day-to-day lives. Our research examines the use of AI-enabled conversational agents in collaborative teams within organizations to understand how their adoption in such contexts disrupt individual teammates attitudes and behaviors.