The Government Circuit: News on Defense Electronics, Europe, and Sustainability
American Made Advocacy: Taking the Fight to Capitol Hill
Defense Speak Interpreted: SWaPing Nanosatellites for Defense SystemsTech Trajectories: Projecting Trend Advancements
September 25, 2024 | Srikanth Chandrasekaran, IEEE SAEstimated reading time: 1 minute
Reflecting on technological advancements and examining how foundational technology trends evolve is essential to seeing where the world and society are headed. Last year, significant strides were made in data governance, automation, edge computing, artificial intelligence (AI), and the metaverse. IEEE Standards Association (IEEE SA) is keeping its eye on what’s ahead for these technologies that are transforming various industry sectors. In this article, I’ll examine the current state of these technologies and outline the advancements and directions we expect ahead.
Data Governance
As technology evolves, building frameworks that ensure people have trust in systems holds significant weight. Integrating Trust, Identity, Privacy, Protection, Safety, and Security (TIPPSS) principles into data governance strategies ensures data integrity and confidentiality.
The rapid adoption of AI and machine learning (ML) technologies has made data governance increasingly critical. The focus has been toward enhancing data security, privacy, and compliance with evolving global regulations. Developments included the creation of robust frameworks and advanced encryption techniques to safeguard data. The IEEE 7000™ Standards Working Groups has made significant strides in ensuring ethical alignment in autonomous and intelligent systems, tackling potential ethical issues up front to foster greater trust and market acceptance.
In addition to these focus areas, a continuing rise in screen time among children and teenagers that began during the COVID-19 pandemic has also underscored the need for standards addressing the data governance of younger users. IEEE SA played a pivotal role in this area, advancing standards such as IEEE 2089 for Age-Appropriate Digital Services, IEEE 2089.1 for Online Age Verification, and IEEE 3527.1 for Digital Intelligence (DQ).
IEEE's CertifAIEd program is pivotal in building this trust by focusing on risk governance in the context of AI and rapid technological changes. The program implements effective data governance frameworks that uniquely address and emphasize the importance of accountability, transparency in data usage, algorithmic bias mitigation, and data privacy management. The program’s approach to system-level value-based design ensures that while products themselves aren't certified, the overarching systems are vetted for ethical and secure operation. This holistic framework promotes trust and reliability in emerging technologies, setting a foundation for robust data governance as we move into 2024 and beyond.
To read this entire article, which appeared in the September 2024 issue of PCB007 Magazine, click here.
Share on:
Suggested Items
HCLTech Announces AI-based Solutions Powered by Intel Core Ultra Processors
10/04/2024 | HCLTechHCLTech, a leading global technology company, will provide advanced AI-driven digital workplace solutions utilizing Intel Core Ultra processors.
Samsung Starts Mass Production of Industry’s Most Powerful PC SSD Optimal for AI Applications
10/04/2024 | BUSINESS WIRESamsung Electronics Co., Ltd., the world leader in advanced memory technology, announced it has begun mass producing PM9E1, a PCle 5.0 SSD with the industry’s highest performance and largest capacity.
Stringent High-speed Requirements Pose Technology Challenges
10/03/2024 | Tarja Rapala and Joe Beers, iNEMIThe ever-increasing demands on printed circuit boards to satisfy the needs of tomorrow’s products means that PCB manufacturers must continuously evolve and react to a wide variety of technological and market requirements such as: Functional density: Finer features, higher density, and increased layers; signal integrity: Higher frequencies, driven by higher data transfer speeds and increased data needs; material properties refinement: Must meet performance as well as environmental demands; Smart manufacturing: Automation, robotics, artificial intelligence, augmented and virtual reality, and machine learning are all part of the future PCB manufacturing floor; and time-to-market: Increased urgency to facilitate new design implementation, product introduction and qualification, quicker market differentiation, and survival.
Jabil Posts Q4, Fiscal Year 2024 Results
09/30/2024 | JabilJabil Inc., reported preliminary, unaudited financial results for its fourth quarter and fiscal year ended August 31, 2024.
Siemens Launches Digital Decarbonization Tool at Climate Week NYC to Help Simplify the Path to Net-Zero Facilities
09/27/2024 | BUSINESS WIRESiemens Financial Services launched the Decarbonization Business Optimizer (DBO), a cloud-based tool created to help address the overwhelming complexity of decarbonizing buildings and the financing needed to get to net-zero emissions.