In our AI-driven world, words take on new meanings.
AI, our new team member, sees the world in its unique way. Understanding its perspective will contribute to a better human-non-human partnership.
Let’s explore what Perception Bias means in our new working environment from both sides: the conventional perspective representing human concepts and AI’s take on it, for fostering a collaborative partnership between humans and non-humans.
Perception Bias Conventional Definition
By conventional definition, Prescription Bias refers to the tendency of individuals to interpret information or situations based on their own experiences, beliefs, and expectations.
It involves the filtering of information through personal lenses, which leads to subjective judgments and a distortion of reality.
This bias can impact how individuals perceive others, events, or ideas, shaping their understanding in ways that may not align with objective reality.
Let’s leave aside what i think about objective reality and if there is such a thing and see what is truly reflected to us in this bias, that even if the information is presented to us we interpret the information, draw decisions, and overall see what we wish to see and is based individually on how we are on a personal level.
Our past experiences, beliefs and expectations can show up in how we interpret reality, meaning see reality, better said experience reality.
Understanding perception bias sheds light on why confirmation bias occurs.
Our brains naturally seek coherence and consistency in information, forming a perceptual lens through which we filter incoming data.
Whether it’s confirmation bias or other cognitive biases, they collectively contribute to shaping our perceptions of reality.
In essence, confirmation bias can be seen as a piece of the larger puzzle that constitutes our cognitive tendencies.
By acknowledging the interconnectedness of these biases, we gain a more comprehensive understanding of how our perceptions influence decision-making and behaviour.
Recognizing these cognitive nuances becomes essential in navigating a world where biases, including confirmation bias, play a role in shaping our perspectives.
Awareness is key to freedom of choice.
What is AI’s perspective on Perception Bias?
AI’s viewpoint on perception bias involves recognizing it as a pattern within the data that the model can identify and replicate, lacking a comprehensive understanding of its broader significance.
AI lacks awareness or beliefs; rather, it identifies patterns based on its training data.
From one perspective, AI can effectively replicate these patterns within the database, but it may not fully grasp the broader implications or significance.
It operates on statistical correlations present in the data without the ability to interpret the information contextually.
On the other hand, when AI presents data, humans may interpret it differently based on their individual perspectives, beliefs, and preconceptions.
Addressing perception bias in our organizational environment involves acknowledging these limitations and implementing strategies to ensure fairness, transparency, and reduced biases in both the data and algorithms.
AI, while lacking consciousness and personal biases, can inadvertently perpetuate or amplify perception bias due to its reliance on human-generated data and patterns.
My Thoughts :
Our cognitive abilities function much like software programs, aiding us in analyzing data and drawing conclusions about our surroundings, lives, and how we should navigate our day-to-day reality.
Perception bias operates like frequently run software, consistently leading to the same conclusions.
When humans create cognitive software programs, we design them based on our experiences, beliefs, education, culture, and our understanding of what we know to be true of the world.
Many people are not aware of our human cognitive abilities, which turn internal conversations into seemingly real phenomena, with little room for challenge or alternative solutions.
However, with awareness, we gain the ability to make choices. We can examine how we’ve designed these algorithms and decide whether to maintain or modify them.
In contrast, AI lacks the capacity for choice, as it lacks awareness of the broader context.
This is precisely why only humans can make choices and be accountable for our cognitive abilities.
AI serves as an amplifier for the data we generate, which is shaped by our behaviours and tendencies ultimately our decision process.
Organizations must develop an AI strategy that includes educating people about cognitive abilities and how AI, our new non-human employee, is influenced by our biases.
This educational foundation will serve as the basis for designing new supportive processes that foster curiosity, flexible thinking, and creative problem-solving within the organization. I call it AI – thinking.
