Bioss

The Bioss AI Protocol

Artificial intelligence presents organisations with two key issues today. The first is competition: the use of AI by “challenger” brands can disrupt established business models. The second is reorganisation: how organisations themselves choose to deploy AI and machine learning in their own decision-making processes.

Bioss is interested in the first, not least in the implications for our own business models. But we have genuine expertise to offer in relation to the second, namely the internal structural challenges organisations face when they and their supply chains incorporate AI and machine learning.

The Bioss insight is that we need to think of our interaction with AI and its sibling “big data” as a series of key working relationships.

The Bioss AI Protocol™, an analysis based on the Tripod of Work and Levels of Complexity, can help you to map the way your organisation deploys its AI, robots and machine learning. The protocol begins by asking five key questions about the work that the AI is doing for the organisation:

  1. Is the work Advisory, leaving space for human judgement and decision making? 
  2. Has the AI been granted any Authority over people? 
  3. Does the AI have Agency (the ability to act in a given environment)? 
  4. What skills and responsibilities are we at risk of Abdicating
  5. Are lines of Accountability clear, in what are still organisations run by human beings? 

This protocol is a useful way of reframing questions about how AI will impact working relationships between humans, and what it will mean to manage or be managed by an algorithm. It avoids some of the more abstract debates about AI and ethics by focussing on the practicalities for organisations in the public and private sector.

When you “task” an algorithm, are you fully conscious of the level of complexity at which it will be making decisions for your organisation? To what extent can you trust that algorithm to make those decisions in line with your strategy and purpose? And as strategy and purpose evolve to respond to changes in the organisation’s wider context, what do you need to do to ensure your algorithms evolve along with them?

If AI takes significant roles within your organisation, which human jobs should be replaced and which new ones should emerge? What levels of power and authority will you grant the algorithm? And what line of sight will your board have into how it is doing its work?

Implementing the Bioss AI Protocol will provide a way of tracking the evolution of these key human/machine working relationships, and of ensuring that from a reputational and commercial perspective, the work your algorithms are doing for you is in line with your purpose, your strategy, your values, and your culture.

If you would like to find out more, please contact us.