What do you do if algorithms are making all your decisions?

It is essential to maintain a balance between automated decision-making and human judgement. -Regularly review and validate the algorithms used for decision making to ensure they are accurate, fair and aligned with your goals and values -Gain a deep understanding of how algorithms work and the factors they consider while making decisions -Implement transparency measures to understand how algorithms make decisions. -Establish ethical guidelines and principles for algorithmic decision making. -Implement monitoring and auditing systems to track algorithmic performance and identify any issues and bias in decision making. -Engage in continuous improvement of algorithmic systems and decision making process based on feedback, insights.

Everyone is impacted by ai and algorithms. We need to recognise that in our daily lives we are faced with AI Moments where we transfer decision making and influence away from humans and towards an algorithm. In many cases, the algorithm provides a better response. For instance, changing a spelling mistake or navigating to a destination with a better route. Yet we also need to recognise that these AI Moments often have a detrimental affect on people. We transfer knowledge from ourselves, diminishing our knowledge, and increasing the collective knowledge of the algorithm. For instance, we find it harder to navigate without satnav the more that we depend upon satnav. We need to become more conscious about making AI Moments

Our debate is often about human vs machine. If I get an algorithm to recommend one option then I need to find a human with a counter perspective. This is flawed, as the human may be more error prone than the algorithm, and we may spend more time finding a counter argument than time spent testing the first argument. We should look at algorithms as part of our teams. A good leader surrounds themselves with competent and able people, and then agrees a way forward. We should think of algorithms in the same way. How do we bring together algorithms trained on different datasets, developed with different motives, or selected on different outputs? We need algorithms to challenge our assumptions and to challenge algorithms before deciding.

We need to be more collective in considering which AI Moments we use to control or interact with our lives. An employer may choose AI Moments that reduce costs or maximise profits. An employee may prefer options that simplify complexity or increase productivity. A family member may prefer options that increase time at home. Only collectively can we make decisions that improve our total net benefit. Consistently choosing one type of option to the detriment of others will create a net negative contribution to our future society coping with AI Moments that increasingly govern our lives. Collectively, we will maintain humanity, implement positive algorithms, and ensure that AI Moments work in the majority of our interests rather than a few.