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Doctoral Student @ MIT
HR Manager @ Pernod Ricard Western Africa
Senior Digital Communications Analyst @ Oando Plc
Creative Director @ Thalia Bespoke Nigeria
Senior Writer @ TechCabal
Managing Director & Computer Science PhD Student @ The Diasporic Group & Cornell University
Educator @ Covenant University
International Criminal and Human Rights Lawyer
Senior Lecturer @ The Technical University of Kenya
Personal Brand Therapist | Bus Consultant | Relationship Counsellor | Content Creator @ NEST Consolidated
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Top answers from some of our sessions.
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I think these social media tech giants are right because at law; where ever there is a right , there is an obligation. Though there is enormous efforts by stake holders in recent years to protect freedom of expression online and offline every one (digital citizens inclusive) owe each other the obligation not to abuse these rights . For instance defamation; with the advent and impact of the internet, and particularly social media networks, it is easier than ever to publish content to a very wide audience in no time . Therefore article 17 of the ICCPR provides for the protection against unlawful attacks on a person's honour and reputation as section 19(3) of same ICCPR equally makes reference to the rights and reputation of others as a legitimate ground of limitation of these rights of freedom of expression. Reputation is the underlying basis in any claim of defamation or libel . Most countries have domestic legislations with varying consequences relating to acts that constitute defamation and libel . Other acts that may limit these rights are; breach of Privacy ; Harrasment(cyber bullying) and hate speech. Not all speech is protected under international law and some form of speeches are required to be prohibited by states. For example; Article 20 of the ICCPR provides as follows; (1) Any propaganda for war shall be prohibited by law . (2) Any advocacy of national, racial or religious hatred that constitutes incitement to descrimination, hostility or violence shall be prohibited by law . Reference could equally be made to Article 4 of the International Convention on all forms of Racial Discrimination requires that ; the dissemination of ideas based on racial superiority or hatred as well as acts of violence or incitement to such acts against any race or group of persons of another colour or ethnicity must be declared an offence punishable by law . Hate Speech provisions under international law is distinguished under 3 different categories which is as follows ; (1) that which must be respected. (2) that which may be restricted (2) that which is lawful and subject to protection.

Arrey Ojong Collins
International Criminal and Human Rights Lawyer
I think this is a bit dangerous. Attempting to ascertain sentimental correlations and apply them to huge financial decisions may work in certain contexts and you could definitely train a model with 99% training accuracy on this task, but future situations that are dependent on complex human action can never be adequately represented by a numerical parameterization and a finite state machine. If the model is not large enough, we will not learn all the possible combinations of interactions. If it is too large, then we only learn the context of our training dataset. That being said, you could do both and get good results during training. Personally, I do not have extensive NLP experience or Bayesian experience in production, but their fundamentals suggest that they would learn this type of model well independently or in conjunction. Naïve Bayes is good for state estimation-based decision making, and NLP can be used to model language and extract sentiment. However, these models depend completely on the input dataset that one utilizes, and the chosen labels (if using a supervised method) that are often subjective. Using data from the internet is also dangerous because it is next to impossible to have humans annotate every piece of training data without spending a large amount of money, and learning from problematic input data can lead to problematic situations.To make this less vague, take the 2016 example where Tay, a chatbot made by Microsoft and trained on Twitter data, became extremely racist in less than a day of online training (https://twitter.com/geraldmellor/status/712880710328139776). Attempting to determine causation in a data driven sense is a slippery slope, and until AI solves the data-driven generalization problem (which I believe may be never) I wouldn't build a system like this in production until I could guarantee significant human supervision and have looked at the ethical implications on those who do not financially benefit from the proposed system.

Ifueko Igbinedion
Doctoral Student @ MIT
Thank you so much Tobi for that question and thanks for this great work and platform.Yes, I agree with those current challenges you highlighted. And like you shared, this sums it up "The system also is very porous." My two cents will be that;1. Regulatory bodies should synergise and stop the blame-game, hate-strife rivalries.There's a lot of home-keeping to be done there.For example, imagine a CORBON, COREN, ESVARBON, TOPREC, ARCON... working together in harmony? Imagine how that will positively influence the construction industry;Imagine swift registration of professionals and massive public enlightenment on the value/worth of professional services;Imagine a well-regulated curriculum with 21st-century realities in each of the professional fields?Also is the need for2. Regulation of the Informal sectors in the Construction IndustrySkilled trades and vocations such as carpentry, tiling, ironmongery, etc need lots of support and regulation so society values their worth and they are also well remunerated. Imagine a regulatory body for tilers and then a tiler upon training is certified with code of conduct, ethics etc as it obtains for the professional fields. That's part of the difference between the 1st world and the 3rd world, all fields and skilled trades are well regulated, monitored and rewarded whether it's SSCE, OND, HND, BSc/BEng/BTech/MSc/PhD a person has.Until we come to the point where we see the services of each one as 'complementation' and not 'competition,' the challenges may persist. A tiler is as valuable and good as a Lawyer although one is a vocation/skilled trade and the other, a profession. I shared more on this in my book the career leader, talking about the career model. The audiobook is accessible here https://selar.co/thecareerleader

Dr. Abraham Owoseni
Educator @ Covenant University
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