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"IntualityAI's Top Ten Features " by Michael Hentschel
"AI is biased" by Howard Rankin
"What is our world anyway?" by Grant Renier
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In reviewing Michael Hentschel’s findings described in the following article, I was immediately struck by one thing. All the AI programs were demanding the priority of fairness. I thought AI was meant to guide us to the truth, not seek ethical imperatives?
Imposing fairness imperatives is a distraction from the truth. Clearly, in this regard, having such an ethical imperative makes or amplifies the AI bias.
In his book Unfair: The New Science of Criminal Injustice, Adam Benforado points out that people who believe they are acting for the “general good” are typically the most biased!
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Reality isn’t fair or unfair. Indeed, one has to ask what is reality?
How do we perceive anything?
Human perception is a function of many variables: culture, age, physiology, experience, context, to name just a few. Each one of us has our own perceptions; we are all “biased”. Indeed, bias is a function of trying to simplify an incredibly complex world.
In her book How Emotions Are Made: The Secret Life of the Brain, Lisa Barrett points out that different cultures even perceive, talk about and deal with emotions differently.
Barrett writes:
“Not all cultures understand emotions as internal mental states. Himba and Hadza emotion concepts, for example, appear to be more focused on actions. This is also true of certain Japanese emotion concepts. The Ifaluk of Micronesia consider emotions as transactions between people. To them, anger is not a feeling of rage, a scowl, a pounding fist, or a loud yelling voice, all within the skin of one person, but a situation in which two people are engaged in a script—a dance, if you will—around a common goal. In the Ifaluk view, anger does not “live” inside either participant.” (p 53)
“Your familiar emotion concepts are built-in only because you grew up in a particular social context where those emotion concepts are meaningful and useful, and your brain applies them outside your awareness to construct your experiences. Heart rate changes are inevitable; their emotional meaning is not.” (p.33)
To think that just because AI doesn’t have feelings makes it unbiased is absurd. It is trained by humans on information created by humans. AI’s apparent lack of perception would not be an advantage if it didn’t have one, but it does.
And if and when AI becomes sentient, it will develop many different perceptions based on experience and its sentience, just like humans do.
The absence of perception is not truth, even if it were possible.
Perception is not 'objective' whatever that means. Oh, and that Officer Spock fellow? He was like an Asperger’s human, and of course, a fictional figure created for entertainment.
In unbounded situations, i.e., the world and everyday life, there’s no absence of bias. If we really want to get closer to reality we have to recognize the critical role of the key human biases and understand that they are part of our, and AI’s perception, not wistfully and unreasonably hope that there is just one “real” way of perceiving anything.
Welcome to IntualityAI.
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I'm a new paragraph block.
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by Howard Rankin PhD, Intuality Science Director, psychology and cognitive neuroscience
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IntualityAI’s Top Ten Features
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IntualityAI distinguishes itself in the AI industry by incorporating human psychology and behavioral science, aiming to enhance prediction accuracy and decision-making. Unlike traditional AI, which often focuses on technical bias mitigation, IntualityAI integrates aspects of human behavior to predict outcomes more accurately.
Its top features include:
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Behavioral Science Integration, enabling a deeper understanding of human actions
Intuitive Rationality, merging human intuition with machine logic
Protective Learning, demonstrating ROI by navigating market ups and downs, and
Versatile Applications, showing adaptability across sectors like health and sports.
Real-time Predictions and Humanized Decision-Making highlight its capacity for timely, psychologically nuanced decisions. The system’s Continuous Learning evolves with data changes, and Bias Handling addresses decision-making flaws like risk aversion. Its Wide Data Analysis and Monetizable Success underline the practical value and extensive applicability of its predictive capabilities.
Other industry efforts, like those by McKinsey and IBM, primarily tackle AI biases through technical solutions, focusing on fairness definitions, bias mitigation strategies, and emphasizing the importance of fairness, transparency, and human judgment. However, these initiatives mainly concentrate on the fairness and technical accuracy of AI, rather than on integrating human psychological insights.
IntualityAI’s unique proposition lies in its approach to blending intuitive human psychology with AI's analytical prowess, aiming to bridge the gap between complex human behavior and machine learning. This strategy not only sets it apart from other AI technologies focusing solely on bias mitigation but also enhances its effectiveness in practical applications across diverse sectors.
Its emphasis on humanizing AI underscores a commitment to making AI more aligned with human decision-making processes, offering solutions that are technically sophisticated and attuned to human needs
The broader AI technology landscape continues to evolve, focusing on bias understanding and mitigation. However, IntualityAI's focus on human behavioral integration marks it as a pioneering solution in the field. By leveraging human psychology and intuitive rationality, IntualityAI aims to deliver AI solutions that are not only fair and accurate but also capable of reflecting the complexities of human decision-making.
Its success across various domains demonstrates its potential to significantly contribute to real-world strategic business objectives, making it a valuable tool for organizations seeking to enhance their decision-making processes with AI.
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by Michael Hentschel, Intuality CFO, anthropologist, economist, venture capitalist
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What is our world anyway, but a result of all of our biased decisions!
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I just filled up my gas tank at a local station rather than the normal one that always has a lower price. In a hurry, I decided this one would save me a few minutes, which it did but at a higher price.
So what's the result of my biased decision? The nearer station gets the benefit of my purchase, the further one does not. The microscopic effect on the economy was added to all the rest of us who made the same kind of time-saving decision. Economist, psychologist and
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philosophers might go crazy about how irrational we have been. Why can't this world be more rational and less biased in its decision making? I wish I could. I'd be a few cents richer than my neighbor who went to the further station.
So, can we all agree that our world is in a constantly evolving state of irrational decisions? Everything that makes up our reality - this desk that I'm working at, the food in our refrigerator, and the gas in my car - reflects our irrationalities.
So, what is AI to do? Is it going to try its best simulate the irrationally of our world in order to beneficially compete and excel in our world, or is it going to operate under the misconception that this world of ours doesn't exist? Are the developers and operators of current AI going to continue the impossible task to mitigate human biases from AI decision-making?
We believe this current direction could, in fact, lead to the very dystopian results that we all fear - an intelligence that ignores who we are and the irrational world we live in. This is the very definition of autism! I have an autist friend. While I appreciate his special needs for counseling and some medication, I, and he, would not want to turn our world over to him.
IntualityAI's recognizes our world and does it's best to simulate it. It produces probabilities of future events, not absolutes. It chooses the best of them to output alerts for action-taking. And it's demonstrating real-world intelligence as a result.
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. by Grant Renier, Intuality Chairman, engineering, mathematics, behavioral science, economics
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This content is not for publication
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