"Wall St" is full of greedy unethical people.  Nothing could be further from the truth.  Some of the most honest, decent, humble, hard working people I have ever met work in this industry.  

Views: 140


You need to be a member of Global Ethics Network to add comments!

Join Global Ethics Network

Comment by Al LeBlanc on July 2, 2015 at 10:35am

Wonder if the 80-20 Principle (Pareto's Law) applies to Wall Street?  80% corrupted by money/power/hubris ("some"= 20%) - not bought) ?  Believe the same Principle may apply to National Politicians (probably 80% corrupted/compromised by Special/PowerfulInterest getting elected and staying in power) ? The Record speaks for itself - need reforms both areas !

Comment by Untung Waluyo on June 28, 2015 at 1:45am

underline "greedy" :) waluhyo

Comment by Valentine Olushola Oyedipe on June 19, 2015 at 8:07am

A world leading financial market institution otherwise known as as Wall Street located in New York may connote different meaning to different persons.Fundamentally,the ethic of business should rise above other things.However, for those that see Wall St as full of greedy people with gross un ethical conducts must have suffered from a bitter experience.Nevertheless, there are some persons that still hold tenaciously and guide jealously the ethics of business which I guess you have had contacts with one of such persons.In which case,judgements must go with caution.

Carnegie Council

AI in the Arctic: Future Opportunities & Ethical Concerns, with Fritz Allhoff

How can artificial intelligence improve food security, medicine, and infrastructure in Arctic communities? What are some logistical, ethical, and governance challenges? Western Michigan's Professor Fritz Allhoff details the future of technology in this extreme environment, which is being made more accessible because of climate change. Plus he shares his thoughts on some open philosophical questions surrounding AI.

The Ethical Algorithm, with Michael Kearns

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. They have made our lives more efficient, yet are increasingly encroaching on our basic rights. UPenn's Professor Michael Kearns shares some ideas on how to better embed human principles into machine code without halting the advance of data-driven scientific exploration.

Fighting ISIS Online, with Asha Castleberry-Hernandez

National security expert Asha Castleberry-Hernandez discusses what "ISIS 2.0" means and how the terrorist group has used social media to recruit and spread its message. How has its strategy changed since the death of its leader Abur Bakr al-Baghdadi? What can the U.S. military, Congress, and executive branch do better to fight the group online?





© 2019   Created by Carnegie Council.   Powered by

Badges  |  Report an Issue  |  Terms of Service

The views and opinions expressed in the media, comments, or publications on this website are those of the speakers or authors and do not necessarily reflect or represent the views and opinions held by Carnegie Council.