Conference theme: AI and diversity in a datafied world of work: Will the future of work be inclusive?
An indicative but not exhaustive list of questions that could be addressed by our conference theme and the proposed streams includes the following:
- What are the (un)intended consequences of AI and algorithmic decision-making, especially as it advantages certain individuals or social identity groups while restricting opportunities and excluding individuals with marginalised identities inside and outside organisations?
- How do AI and algorithmic decision-making in recruitment and selection, career development, performance management and reward systems, training and development, among other organisational processes, affect employees’ careers and lived experiences in the workplace, especially those with marginalised identities?
- Furthermore, how are such processes shaped by AI and algorithmic decision-making, resulting in different outcomes for different groups of workers and a negative impact on already marginalised groups of workers?
- How do emergent technologies, such as machine learning, predictive and prescriptive algorithms, online platforms, etc., influence candidate screening and hiring, the allocation of tasks and jobs to employees, and, therefore, individual outcomes at work and especially for those with marginalised identities?
- How do new organisational forms, such as online platforms and network-based firms based on emergent AI technologies, impact power distribution in organisations and labour markets, shaping inequality at the workplace?
- How do organisations and decision-makers address and adjust to AI and algorithmic decision-making and the future of work? How does AI affect decision-makers and their organisational behaviour, especially concerning PM and HRM decision-making?
- How do the myths associated with globalisation, meritocracy, and efficiency interplay with AI and algorithmic decision-making, define working practices, and deepen systemic inequalities against individuals with marginalised identities in organisations?
- How do AI and algorithmic decision-making change or reshape existing norms and institutions? How does this affect individuals with marginalised identities?
- How is the emergence of AI and algorithmic decision-making experienced by individuals with marginalised identities? How does algorithmic bias demonstrate itself in the day-to-day and mundane employee experiences at work, and how does it affect individuals’ life outside work? How do individuals with marginalised identities navigate algorithmic decision-making?
- How are identities rooted in and outside the workplace activated to perpetuate or disrupt algorithmic biases in organisations through solidarity, advocacy, and resistance?
- What strategies have proved successful in disrupting algorithmic biases in organisations? How does algorithmic decision-making help to achieve an inclusive society? How can we regulate algorithmic decision-making?
The conference theme for EDI 2025 provides a broad lens through which to investigate global, national, organisational, and individual challenges to equality, diversity, and inclusion.
All information can be found here: edi-conference.org