II Data School
II Data School is the premier organization for bridging the world of academia with the world of practice. II Data School has four focus areas that highlight key research areas for contemporary issues. The four current research areas of II Data School are geographic information systems and climate change, economy and finance, information security, and last but not least health care and medicine. The research areas of focus for II Data School will grow and change over time. To learn more about the development or to participate in the formation of this organization, visit iidataschool.com for more information.
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.
Research and Training Materials
TJG Web Services develops research and training materials in information technology. Research and training materials are available for the areas of health care, earth science, finance, commerce, computer science and other areas. TJG Web Services researches the latest trends in technology services and their practical applications.