Technology and Innovation Management TIM

AOM 2020 Symposium: Organizing Work with Algorithmic Augmentation and Artificial Intelligence (session 251)

  • 1.  AOM 2020 Symposium: Organizing Work with Algorithmic Augmentation and Artificial Intelligence (session 251)

    Posted 08-01-2020 14:23

    We hope you will join us for a LIVE Presenter Symposium sponsored by the OCIS and STR Divisions at #AOM2020 on Organizing Work with Algorithmic Augmentation and Artificial Intelligence

    Monday, August 10 2020, 8:15-9:45am (EDT)

    There is a fabulous line of scholars that will present their current work along with Professor Brian Pentland offering his insight as discussant. Do join us and register for the talk on the AOM site:

    If you already have a log in for AOM 2020 then once into the system you will be able to 'Reserve a Spot' for this talk. Space is limited via Zoom so please do reserve early!

    The presenters include (in order of appearance):

    Professor Robert Seamans (NYU) - AI in Organizations: Research Opportunities

    Professor Emma Vaast (McGill University) - The Fine Lines of Dissent of Working with Algorithms

    Professor Natalia Levina (NYU) - Doubting the Diagnosis: The Role of Ambiguity When Forming Professional Judgments with AI Tools

    Professor Youngjin Yoo (Case Western) - Organizing in the Age of Organic Machines

    Discussant: Professor Brian Pentland (Michigan State)



    With the rise of artificial intelligence (AI) we see renewed interest in algorithms that underlie all digital work. The aim of this symposium is to gather our different understandings of algorithms across different disciplines and divisions and make sense of what we know and what is important to focus on next. Current scholarship shows us that algorithms, a set of digital instructions that are implemented to achieve a goal, enable humans to work more effectively and augment our capacities. At the same time algorithms are affordances that in use can manifest consequences differently to plans and design. Algorithms organize, manage and control many tasks that are delegated to them by humans, however, this control is not always obvious, transparent or equitably balanced. We also know that machine learning algorithms are moving beyond initial design to offer unique solutions for unsupervised and uncertain environments and problem spaces. There is growing anticipation about the possibilities of AI and algorithms at work. We hope to unpack current scholarship in this symposium and seek overlap between different domains interested in algorithms and AI in organizational settings and beyond.


    To view the entire schedule of AOM 2020:


    Maha Shaikh
    Associate Professor
    King's College London