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An international artificial intelligence accord

Internationally, countries may agree to commit to standards for the implementation of artificial intelligence algorithms to prohibit and prevent the potential of harm. A draft review and proposal of the potential of the dangers that artificial intelligence can present may outline the risks to populations globally. An international board with representatives from public and private sectors may provide guidance on the content of such a draft. In addition, the creation of an international body with investigative powers could provide support to the enforcement of any policies included in the international accord. An international commission may evaluate and report on draft legislation to be included in the accord. The commission may accept testimony from experts to provide planning, guidance, and requirements of the accord.

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Artificial intelligence and machine learning algorithms in financial trading markets

The application of artificial intelligence and machine learning algorithms in financial trading markets can be one of the areas to explore for economists and policy makers. With emerging markets, the implementation of artificial intelligence and machine learning algorithms can be evaluated for the affects that they may have on trading currencies, equities, bonds, and commodities. The role that artificial intelligence and machine learning may potentially have can be an area of future research.

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Risk of cryptocurrencies in financial markets

As the cryptocurrency markets start to show tremendous growth, one of the areas that may be of concern to financial regulators is the risk that these cryptocurrency markets place on existing financial systems. The rapidly rising value and market capitalization of these virtual currencies may eventually reach a point to where their volatility could influence other financial markets. Research into the potential risk of cryptocurrencies in financial markets may be an area of future research.

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The potential liability of artificial intelligence in civil unrest

Artificial intelligence may potentially play a role in promoting civil unrest if more of the monitoring and reviewing of technology platforms with automation tools. If humans are not involved with the review and moderation of topics on technology platforms, discussions promoting civil unrest may be allowed to exist on technology platforms. The design of automation tools may not consider the potential effect of the promotion of civil unrest in content moderation. In the development of automated moderation tools, it may also be necessary to review and moderate the promotion of civil unrest.

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2021 TJG Web Conferences

As we bring in the year 2021, TJG Web Conferences shifts gears to reflect emerging trends in the world of technology. The recent ongoing pandemic and economic crisis continue to be the leading topic. AS the potential of global vaccination and the slow economic recovery continue to bring better days, TJG Web Conferences looks to deliver round tables for leaders, educators, and policy makers to facilitate topics of concern.

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TJG Web Services Security Check Announcement

Recently, an attempt was possibly made to breach TJG Web Services platforms with a very powerful security tool. The source of the attempted breach may be pointing to foreign actor. Due to the nature of the attempted breach, TJG Web Services will be reassessing its security posture for the platforms. During this time, certain areas may become periodically inaccessible. If there is a feature that you may require access to and are unable to, please exercise patience while the attempted breach is scrutinized.

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Strategies for future technology enterprises

Mistakes learned from existing enterprises can be valuable lessons. There are strategies that new and emerging technology start-ups and businesses can follow to avoid repeating the errors of enterprises that are marred by controversies. Wholesome business strategies can lead to long lasting institutions that are not the target of investigations, suits, and complaints. If the source of funding of a business or the investors is corrupt, more than likely the business is going to end up with corrupt business practices. More care should be focused on how businesses are funded to grow. Ethical investors can guide the policies and procedures of an organization. As a business grows, the source of investment can promote the value of the products and services that they offer. If technology companies are funded by people that have earned their wealth through exploitation and greed, the trend is evident that the companies they build will follow these same practices. These companies may grow fast, but that initial structure will be more difficult to control or regulate once that company has reached a certain size. After a company goes public, it will be even more difficult to discern the source of their wealth when ethical investments are diluted by the founding corrupt investment. When there is no more ability to shakeup management in these companies because their stock listings have unique structures that prevent buyouts it will be an arduous process to implement true change. Instead, developing a more detailed process of recruiting ethical investors initially and allowing them to guide the formation of the company structure, may be a slower process that develops a higher valued organization. This process may be an instrumental strategy for new and emerging technology enterprises. Another strategy for developing higher valued organizations may be to allow for more input from consumers. Technology companies today are displaced from customer service. It is very difficult, virtually impossible, to reach a human at many of the large technology companies today. If technology companies allow for more communication and input from consumers, they could return the value that consumers have in customer service. Consumers could then participate in the development of better products and services. If technology companies continue to ignore consumers, then they will continue to develop displaced products and services and add undesirable features to their existing products. The next generation of technology companies will hopefully bring ethical investors and happy customers that will lead to long lasting institutions and sources of revenue.

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Repercussions for misplaced algorithms

Algorithms that are developed that have human harm may avoid liability if there is no structure of repercussions for failed algorithms. Whether the responsibility lies in the designer of the algorithm or the implementer of the algorithm, the negligence of allowing algorithms to cause human harm lies on the public if nothing is done to regulate their ability to influence decisions that should be made by humans. Repercussions for misplaced algorithms may define liability for a common awareness about the regulation of algorithms.

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Public institution for the open source analysis of algorithms

A public institution for the open source evaluation of algorithms could provide an international resource for developing policies and regulations towards ethical computing. The structure of such an organization could reflect public and private interests and coordinate efforts among other institutions in the industry to support better practices for the applications of algorithms in computers. The institution could also present strategies to regulators for developing international standards governing algorithms.

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The possibility of blockchain for voting election technology

Blockchain technology may present a service that can allow for secure voting election systems. Blockchain technology provides security for the authorization and authentication of transactions on the Internet. These technologies may be applied to voting machines to provide a more secure system for recording votes at voting locations.

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Image analysis in financial markets

Image analysis may potentially sever as a tool for large scale financial transaction analysis. Reducing large amounts of financial analysis to charts that can be analysed by image analysis may simplify modelling and simulations of historical and forecast financial data. Image analysis algorithms may facilitate large scale data analysis.

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Management Artificial Intelligence

Managing a large scale artificial intelligence teams may require a broader approach to planning than normal information technology projects. The potential for greater risk and the need for higher levels of trust and transparency to the effectiveness of machine learning and artificial intelligence algorithms require more resources than software engineering projects. Machine learning and artificial intelligence algorithms are based datasets. The datasets are supposed to be representative of the population. The processing of the datasets also require representation of the population to mirror human actions. The room for error in datasets and processing can be very large. For this reason, great care must be taken to ensure that these tools are developed safely. Even the most skilled scientist may allow errors in the development of machine learning and artificial intelligence algorithms. Unlike software engineering, errors in machine learning and artificial intelligence may not be evident in testing or early production phases. Errors in machine learning and artificial intelligence algorithms may be more difficult to find and can cause greater danger if these technologies are placed into market. The need for organizing the planning and processing for management of artificial intelligence may demand greater scrutiny in the development of project timelines, deliverables, and stakeholders. If a software product fails because of loss of data, there are a number of regulations that govern what should take place because of the breach. Regulations for data privacy have been developed to ensure that personally identifiable information is protected. There are also industry specific regulations to protect data in industries such as health care and education. Unfortunately, there are not international, national, or industry specific regulations governing the ng the application of artificial intelligence algorithms. Nor are there disclosure measurements for how public and private sectors can deploy artificial intelligence algorithms. Corporations can deploy artificial intelligence algorithms with reckless abandon without any responsibility for the outcome. Without any regulation, these algorithms may have the potential to be weaponized against certain populations. Without disclosure requirements, it may be very difficult for the public to even know how and when these algorithms are being operated. Presently, it is a corporate social responsibility to maintain ethical and moral requirements of the wild, wild west of artificial intelligence algorithms.

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TJGXMLCMS

TJGXMLCMS development with Microservices and Big Data. Integrate machine learning and artificial intelligence with infrastructure automation.

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TJGXMLCMS

TJGXMLCMS Network Automation. Automate network infrastructure configurations with TJGXMLCMS configuration automation.

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TJGXMLCMS

TJGXMLCMS Scalability and Security. Develop scalable, available, and secure systems with TJGXMLCMS suite of tools.

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TJGXMLCMS

TJGXMLCMS is an integration of tools to support content management. TJGXMLCMS has interfaces in a number of programming languages to allow for easy integration into existing platforms. TJGXMLCMS separates content from the presentation layer with XML, permitting the facilitation of the deployment of systems agnostic of the business domain. TJGXMLCMS has applications in publishing, education, research, media, and science. Internal TJGXMLCMS applications can integrate secure XML techniques for all industries.

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TJGXMLCMS

State of the Art Content Management System

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TJGXMLCMS

TJGXMLCMS is a suite of tools that can be integrated and customized for existing systems. TJGXMLCMS can also serve as a standalone content management tool. TJGXMLCMS is designed with a number of emerging software development practices. TJGXMLCMS is developed with practices such as test driven development, behavior driven development, shift left programming, and value stream modelling. These practices provide rapid developments of features for the content management tool.

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Society Raises the Princes of Morals

Editorial

Dr. Tamaro J. Green

 

Society, through their compassion, patience, understanding, and forgiveness, raises the princes of morals to exercise judgement of thought based on the reverse of the same principles exercised.  The princes, fuelled by greed, blinded by carelessness, and oblivious of cruelty, returns to society a fortune of misfortune.  Propelled by a lack of early prevention, the enormous beast of society media subdues society by its own creation.

The ills of society media can no longer be avoided as the reach of the society media princes are no longer with bounds.  Society media princes rule not only a county, not only a country, not only a continent, but a collection of seven continents spanning the globe.

There is nothing that extends outside the limits of the society media princes.  Guilty, as I am for supporting such an endeavour, I seek permission for lacking amazement with the potential of the society media empire.

The potential problems for a society media empires and society media princes, now realized, raise the alarm on how such a ridiculous idea can even be suggested, and much less exist.  With every challenge, there must be a solution. 

Possibly, international market policies and regulations may provide prevention.  An easier solution may be to allow for existing market strategies to persist.  Eventually, the demand for uncensored platforms will outlive the nostalgia of the society media empires. 

Of course some form of censorship must exist.  Otherwise, people would create their own news and publishing companies and publish whatever they want.  Obviously, there is a risk in that idea. 

But, too much power to just a few organizations can present a risk to the purest freedom, freedom of thought.  No more should the entire world be coerced into the thought patterns of a handful of society media princes.  That is just a suggestion, which may eventually prosper to a fruit.

 

Dr. Tamaro Green is a computer science researcher and the founder of TJG Web Services.  TJG Web Services, LLC is a consulting firm in the field of information technology.  Dr. Green writes on topics of privacy, security, and ethics in information technology and computer science.

TJG News Editorials are opinion pieces and do not necessarily express the opinion of TJG News.  To publish editorial pieces in TJG News send an email to editor@tjgnews.com.

 

 

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News Update

There is no evidence that any of TJG Web Services systems were compromised during the latest major security breach. Security professionals at TJG Web Services are continuing to assess and monitor systems to ensure that there has been no breach or disruption of services. Contact TJG Web Services if you would like to have professionals review your systems.

News Update

TJG Web Services provides software security assessments to provide individuals and organizations detailed reports on potential security vulnerabilities and threats. A software security assessment alerts system administrators and management areas that require improvement to deliver secure systems. Contact TJG Web Services for a software security assessment.

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TJG Web Services offers secure software design solutions, migrations, and upgrades to allow individuals and organizations choose strategies to protect sensitive data and information. TJG Web Services delivers software solutions with security as a priority in planning stages. TJG Web Services provides consulting and training services for the design of software systems.

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