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All Journal Journal of Novel Engineering Science and Technology Journal of Public Health Sciences
Miftahul Amri, Muhammad
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Environmental Science Health Professions Mechanical Engineering Medicine & Pharmacology Nursing Public Health

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Latest Trends in Visual Manipulation and Navigation in Robotics Miftahul Amri, Muhammad; Areche, Franklin Ore; Ratnakar Naik, Amar
Journal of Novel Engineering Science and Technology Vol. 2 No. 01 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i01.253

Abstract

In recent decades, the term Robot has become more and more popular. A robot can be defined as a machine that is specifically built to complete certain tasks to help human-being. In order to successfully accomplish its task, the robot needs to receive input data and process it. Then, the processed data is used for manipulator-actions decision-making. The input data can vary from sound, temperature, vibration, touch, vision, etc. Among those input data, vision is arguably one of the most challenging data. This is because vision often needs detailed and complicated preprocessing before it can be used. In addition, vision data size is relatively larger compared to the other type of input data, making it more challenging to process considering the computational resources. In this paper, current research and future development trend of robotic vision were reviewed and discussed. Further, challenges and potential issues about robot vision, such as safety and privacy concerns, were also discussed.
Artificial Intelligence for Human Life: A Critical Opinion from Medical Bioethics Perspective – Part I Khairatun Hisan, Urfa; Miftahul Amri, Muhammad
Journal of Public Health Sciences Vol. 1 No. 02 (2022): Journal of Public Health Sciences
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.899 KB) | DOI: 10.56741/jphs.v1i02.214

Abstract

Since the end of the second artificial intelligence (AI) winter in 1993, AI popularity has been skyrocketing. Catalyzed by the rapid advancements of supporting technologies such as computational power and storage capacity, AI has been widely developed for various sectors of human lives. Although there is a common global consensus stating that the development of AI should consider ethical principles, until when this paper was written, the debates on how we can define an AI as ‘ethical’, how the AI ethical guidelines should be formulated, who has the rights to determine the ethical aspects of AI, and how can we reinforce the guidelines to the AI developer/operator is still going on. In this article, we summarized the research and studies related to AI development from the ethical perspective that have been conducted within the last 10 years. We discussed several cases of AI development misconduct and ‘unethical’ AI, such as biased algorithms and privacy breaches during data gathering.
Artificial Intelligence for Human Life: A Critical Opinion from Medical Bioethics Perspective – Part II Khairatun Hisan, Urfa; Miftahul Amri, Muhammad
Journal of Public Health Sciences Vol. 1 No. 02 (2022): Journal of Public Health Sciences
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.433 KB) | DOI: 10.56741/jphs.v1i02.215

Abstract

Healthcare and medical fields are among the areas of AI applications that require serious attention when it comes to ethical and trustworthy AI. In the medical field, artificial intelligence is applied in laboratory research, regulation-policy making, and clinical intervention. Several factors need to be seriously accounted for in the AI-empowered healthcare system, including algorithm transparency, bias mitigation, domain-expert involvement, privacy and data protection, and informed consent. In this article, we summarized the applications of AI in the field of medical and healthcare sectors. We also presented the possible ethical issues in AI applications in mentioned sectors. These issues include transparency and safety, informed consent and right to information, algorithmic fairness and biases, and data privacy and sharing regulation. We then present the basic principles of AI ethics and the existing AI guidelines, especially for the fields of medicine and healthcare. Based on the existing issues and guidelines, we believe that there are still many factors that need to be perfected, such as how we can generalize these guidelines worldwide and how these guidelines can be legally-binding. Detailed clauses in the guideline and law enforcement are another issue that should be addressed such that no loophole can be addressed. Ethical consideration is critical in AI applications, especially in the medical and healthcare fields. Until these issues can be totally addressed, we believe that AI applications in healthcare should be very strictly monitored.
Co-Authors Areche, Franklin Ore Khairatun Hisan, Urfa Ratnakar Naik, Amar