IEEE Technology Policy and Ethics
Many devices, systems, industries, etc. are leveraging Artificial Intelligence (AI) for significant enhancements and improvements. However, the creation and introduction of new tools and resources also highlights ethical issues and social implications that need to be considered.
Don’t miss the chance to submit an article to address issues of concern and potential resolutions relating to the use of AI in emerging tech. All articles must be submitted to FDPolicyEthics@ieee.org by Thursday, 13 April 2023 in order to be considered for publication.
If you are interested in submitting an article, please review the article checklist and guidelines:
- Article Guidelines (PDF, 1.3 MB)
- Article Checklist (PDF, 0.3 MB)
IEEE Technology Policy and Ethics is a bi-monthly digital publication featuring timely technical, policy, ethical, social, governmental, but not political commentary, related to emerging technologies and advancements that are electrical and electronic in nature. Future Directions considers the reflection of technology through the lens of social implications a key tenant as IEEE works to incubate and promote technologies.
This publication is actively promoted across IEEE Future Directions Initiatives. Readers of this newsletter include IEEE top to middle-level leadership, policy and technology experts, academicians, scholars, and students.
IEEE Technology Policy and Ethics
January 2023
Effective Spatio-Temporal Filtering for Progressive Radiation Dose Reduction in Cardiac Imaging — Part 2
By Ayush Dogra and Sanjeev Kumar, CSIR- Central Scientific Instruments Organization, Chandigarh
It is well-known that X-ray radiation is ionizing and carcinogenic in nature. As a result, low-dose X-ray imaging has been a recent trend gaining widespread popularity. Based on research statistics, each time X-ray imaging is performed, the patient becomes more likely to develop a malignancy. Considering extreme ethical and social responsibility, industry professionals are committed to decreasing the amount of radiation exposure in cardiac imaging as much as possible.
The continuous rhythmic cardiac motion exacerbates image noise while leaving arterial segments non-diagnostic, and the limited photon exposure generates streak artefacts and precipitates photons, or shot noise. Hence this highlights the need to design an efficient, yet computationally simple, algorithm for smooth workflow, specific modality, and diagnosis outcome.
In this paper, we propose a spatial-temporal filtering for progressive radiation dose reduction in cardiac imaging.
Preparing the Packaging Industry for Industry 4.0
By Muhammad Usman, Entrepreneur in applied Data Science and Industry 4.0
Industry 4.0, also known as the Fourth Industrial Revolution, is characterized by the integration of advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, into manufacturing processes [1].
The packaging industry is only one sector that has the potential to greatly benefit from these technologies. One of the major benefits of implementing Industry 4.0 technologies in the packaging industry is improved efficiency [2]. For example, the use of robots and automation can help to increase production speed and reduce labor costs. Additionally, the use of IoT sensors and real-time monitoring can help to improve process control and reduce waste [3]. As a result, companies can produce more products in less time, at a lower cost, and with higher quality.
Technology Policy and Ethics Editorial Board
If you are interested in serving as an editor for IEEE Technology Policy and Ethics, please send an email with your CV/Resume and a brief summary of your qualifications to FDPolicyEthics@ieee.org. We ask each board member to submit at least one self-written or solicited article each year.