Artificial Intelligence Innovation Network AIIN

Hello

The AI Innovation Network AIIN was established by the Information Systems Management ISM Group at Warwick Business School in 2018.   The principle goal was to combine academic and industry research into how human and machine knowledge and intelligence are being transformed .

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This originated from previous work by ISM is several fields that saw a rapid increase in evidence of automation impact in the future of work, digital platforms, social media, and cybersecurity issues.    This was across all industry sectors that ISM had been conducting research, this together with several industry partners seeking an increasing focus on data analytics, machine learning, and artificial intelligence.   

Industry and Technology Impact 

We have been involved in a wide range of sectors and technology 

Sectors and the impact of digital innovation. Examples

  • Healthcare
  • Central Government
  • Local Government
  • Finance
  • Energy
  • Retail
     

Technologies  of Interest

  • Multi-agent Systems MAS
  • Neural Networks – image recognition
  • Blockchain
  • VR, AR, MR immersive systems
  • Cyber-physical systems

Research Themes

This includes impact studies, pure academic research and expert panel, and advisory work to Governments, Executive Boards, Partnerships, ENtrepreneurs, Startup incubation and market growth.  Example of technological themes in our research include 
 

  • Ethics an AI – in social media, fake news
  • Future of Work impact of AI –  beyond the productivity paradox 
  • Decentralized, Distributed Intelligence –
  • Digital Twinning and Intelligence spatial-temporal-context transformations
    • VR, AR, MR, XR Immersvice systems​
  • Deep Neural Network strategies for task-based human-machine replacement versus augmentation​
  • The issues of managing Superintelligence and superior skills
  • The Human-Machine Interaction​ – how task, taught and reflective learning models are evolving 
  • Defining new knowledge, learning, and intelligence for human and machine automation
  • Cybersecurity risk and new threat vectors in AI
  • Automation governance and adoption strategies for policymakers
  • Advanced digital platforms 
  • The 4th industrial Revolution and the impact of automation 
  • Next-generation technology ideation and incubation 
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