AI Assurance

AI Assurance

Semantle

Semantle

SetembroBR Dataset

SetembroBR dataset

Viz2Viz

Viz2Viz

The Ugly Truth Of Phds

Only about one percent of the labor force has a Phd qualification. However, a large majority of them tend to lack basic ethical skills and usually come with a degree of arrogance. This is further exacerbated in fields like data science and AI where huge amounts of training data is involved. In data ethics, it is really the people and data that is the issue, not so much the intended system. Unless the Phd specialism is in ethics, they rarely have a formal ethics course. And, often their plagiarism gets undetected. It is usually years later that someone notices the issue with an academic piece of work. Most Phd people are also seething in arrogance. But, some how lack the basic practical skills in the workplace for which teams of engineers are required as their support function. Considering only a handful only ever complete their Phds, is it any wonder why it has not born fruits in the practical world outside of academia. We can even see research work that amounts to no where. Almost 80% of all published research work coming out of academic institutions amounts to nothing. As a result, the return on investment for a Phd is quite low outside of academia. In fact, most highly rated research-led institutions have poor quality of teaching. A fresh Phd graduate has outdated practical skills. Generative AI and LLM have shown that Phd do in fact lack basic data ethics skills where there is a complete lack of transparency, fairness, accountability for any models that they produce and make available to the community. In fact, explainable AI in most cases is seen as an afterthought in many organizations and where biases in machine learning models is typically the norm. No one bothers to question a Phd person in academia or the practical world with little to no accountability where they are involved in development standards and codes of conduct for other people. If AI needs to progress ethically, it needs to question the ethical background of the people employed to design and produce such systems. The ugly truth seems to be an obvious one. A Phd individual is unethical and unqualified by the very nature of being human and with their set of biases. And, why even bother hiring a practically inept person with Phd compared to someone with decades of practical experience.

Qualities of Unethical People In Workplace

• They deny deny deny everything even if it is unethical and when they get caught out
• They scrape data from the web and everywhere else, without regard for PII and other aspects of data ethics
• They call out things as attacks when their errors are pointed out to them
• They will find ways to block or ban you
• They will use their biases and discrimination to deflect from the issue
• They will likely not believe you but follow a herd mentality, this is especially typical of people with Phd backgrounds who seem to assume they are above everyone and think they are ethical, beyond reproach, but don't really take a formal ethics course
• Unethical people generally have obvious unethical practices with work and in their personal lives
• Unethical people generally have very low respect for others
• Unethical people are always looking to one-up you
• Unethical people tend to be hypocritical, they rarely practice what they preach
• Unethical people have a skewed view of fairness
• Unethical people seem to think they are never accountable
• Unethical people are untrustworthy
• People that define codes of conduct and ethics for others generally tend to be unethical themselves and rarely follow what they set out as rules for others to follow
• They are not very transparent with their work
• They generally are not considerate about others
• They tend to be egotistical and self-centered
• They seem to target and accuse everyone else as being unethical
• They are always looking to blame others for their mistakes and shortfalls
• They have the same patterns of behavior which eventually makes you expect the worst from them
• They will always look to interpret things the wrong way
• They are willing to break the rules to better themselves
• They have no issues of walking over others
• They have no issues with using another person's original piece of work as their own
• They tend to lie incessantly, and eventually get caught out with their lies
• They are always looking to get around the system
• They have low moral standard
• They generally don't care about violating policies
• They will call out everything unethical as legal speculation

Evil List

The Evil List of 2020

Ethics Today

The biggest issue with ethics today is people don't practice what they preach. The person defining the ethics assumes that the code of conduct does not apply to them. The government defines laws which apply selectively to people. Things like favoritism, neopotism, and croynism is rife in society. People also discriminate on others when exercising such forms of ethics. How can AI ethics be defined when it is being researched and studied by people who themselves have questionable practices of ethics in their personal lives. We are stuck in a quagmire of sorts. How can someone that has an absence of morals define ethics for others? When morals form the basis of ethics. AI ethics is not about practicing what is right or wrong. It seems to be more about understanding and being transparent with certain practices and the very unethical, hypocritical, and immoral practices that can be covered up with oaths and pledges.