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OpenAI: A Blessing or a Curse

The human desire to avoid mundane chores and simplify all tasks is as strong and persisting as humanity itself.

Through the ages, this desire manifested itself in many forms. Some, such as slavery or serfdom, were definitely cruel and only served the very few. Later on, the aristocracy went to great lengths to make their lives the best they could be, relying on an entourage of servants to tend to their every need. As the Industrial Revolution introduced the miracle of large-scale manufacturing and eventual automation, we finally discovered a way forward that would not rely on human workers. 

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AI Engineering Development Process

Motivation for AI Engineering Development Process

Artificial intelligence (AI) applications often involve not only classical application engineering but also elements of research. Sometimes it is not clear from the start which approach will be better and one needs to conduct experiments to evaluate multiple approaches. For example, if we are building a machine learning model we would need to evaluate and experiment with different features until we find an optimal feature set. 

Furthermore, if we are building machine learning models, usually debugging is not an easy task. Also in many cases, it is not trivial to evaluate the performance of statistical models and how this performance will translate to business value. All these factors can add an additional layer of complexity that the engineering teams need to cope with.

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Is AI Bias an Open-Ended Issue that needs an Unbiased Perspective?

As the AI continuum keeps ascending, certain elements of the realm keep getting reproached with justifiable vindications. Artificial Intelligence (AI), initially aimed at helping humans make fairer and more transparent calls has been progressively showing signs of bias and flawed decision making. But then, it isn’t the technology that should be blamed as what drives clarity asunder is the inadequate extraction and contextual techniques— something I shall be covering at length, later in this discussion.

How Is AI Bias Even a Thing?