Article
Computer Science, Artificial Intelligence
Weixin Liang, Girmaw Abebe Tadesse, Daniel Ho, Fei-Fei Li, Matei Zaharia, Ce Zhang, James Zou
Summary: It is clear that creating, using, and maintaining high-quality annotated datasets for AI applications requires careful attention. This Perspective explores the challenges and best practices for different stages in the data-to-AI pipeline, aiming to promote a more data-centric approach. As AI moves from research to deployment, developing appropriate datasets and data pipelines for AI models becomes increasingly challenging. While publicly available AI model builders can achieve top performance, the design and curation of data for AI often rely on bespoke manual work, which significantly impacts the model's trustworthiness. This Perspective discusses key considerations from data design to evaluation, highlighting technical advancements for a more scalable and rigorous data-for-AI pipeline. Additionally, it explores the impact of recent data regulations and policies on AI.
NATURE MACHINE INTELLIGENCE
(2022)
Article
Business
Jan Trzaskowski
Summary: This article examines the connection between data protection law and consumer protection law in regulating data-driven business models that profit from personal data and attention. It approaches European Union law from a constitutional perspective, recognizing that certain predatory business models pose risks to human dignity, well-being, social welfare, and democracy. The article argues that consumer protection laws need to be reevaluated in order to restore fairness in online commercial interactions, and suggests that social welfare computing can contribute to combating superficiality and strengthening social cohesion.
ELECTRONIC MARKETS
(2022)
Article
Multidisciplinary Sciences
Annette Braunack-Mayer, Lucy Carolan, Jackie Street, Tam Ha, Belinda Fabrianesi, Stacy Carter
Summary: This study examines how the health and higher education sectors in Australia are addressing the ethical challenges of using big data. Through qualitative interviews with key stakeholders, it was found that although there are differences in perspectives between the two sectors, both recognize the benefits of data usage and the importance of privacy, transparency, and consent. The health sector focuses on legislative and regulatory instruments, while the higher education sector emphasizes individual duties.
Review
Oncology
Shawn M. Sweeney, Hisham K. Hamadeh, Natalie Abrams, Stacey J. Adam, Sara Brenner, Dana E. Connors, Gerard J. Davis, Louis Fiore, Susan H. Gawel, Robert L. Grossman, Sean E. Hanlon, Karl Hsu, Gary J. Kelloff, Ilan R. Kirsch, Bill Louv, Deven McGraw, Frank Meng, Daniel Milgram, Robert S. Miller, Emily Morgan, Lata Mukundan, Thomas O'Brien, Paul Robbins, Eric H. Rubin, Wendy S. Rubinstein, Liz Salmi, Teilo Schaller, George Shi, Caroline C. Sigman, Sudhir Srivastava
Summary: Big data in healthcare, including electronic health records, medical imaging, genomic sequencing, payor records, and data from pharmaceutical research, wearables, and medical devices, can provide unprecedented understanding of diseases and their treatment. However, challenges such as interoperability, data quality, and data privacy need to be addressed to fully leverage the potential of big data in medicine. Organizations sharing data in a precompetitive manner, establishing agreements on data quality standards, and implementing universal and practical data privacy principles are key to realizing the benefits of big data in healthcare.
Article
Business
Vlad Krotov, Leigh Johnson
Summary: The digital data available online is measured in zettabytes. This data is regarded as a valuable resource similar to land, gold, and oil. Organizations can extract and analyze this big web data to gain insights and improve performance. Web scraping has become a common practice for research projects, but it also raises data-related, technical, legal, and ethical issues. Awareness of these issues can help researchers save time, resources, and avoid ethical controversies or lawsuits.
Article
Multidisciplinary Sciences
Shafiqul Hassan, Mohsin Dhali, Fazluz Zaman, Muhammad Tanveer
Summary: The research reviews regulatory frameworks and policies for AI-based medical devices and health data privacy in Bangladesh, comparing them with EU and US benchmarks. The study identifies gaps in Bangladesh's policy and regulation hindering the widespread adoption of big data analytics and AI in the healthcare industry. Recommendations are made for future research to focus on privacy related to AI-based medical devices and consult patients' perspectives.
Article
Law
Klaudia Majcher, Viktoria H. S. E. Robertson
Summary: This article examines the challenges posed by data protection and environmental sustainability to EU competition law, and proposes a taxonomy to better understand the interaction between public policy goals and competition law. Through comparative analysis, it reveals the synergies that the twin transition to a green and digital economy can harness in the field of EU competition law.
EUROPEAN LAW REVIEW
(2022)
Article
Health Care Sciences & Services
Dipika Jain
Summary: In the wake of the COVID-19 pandemic, digital healthcare has gained global interest and investment. However, in India, implementation challenges for digital healthcare exist due to insufficient laws and regulations addressing telehealth, data protection, patient privacy, and informed consent. This paper analyzes the legal, structural, and ethical concerns surrounding digital health in India and provides policy recommendations to overcome these problems.
Article
Computer Science, Information Systems
Vitor Jesus, Harshvardhan J. Pandit
Summary: Consenting on the Web is a complex issue that requires addressing usability, legal, regulatory, technical, and business requirements. One overlooked approach is the use of Consent Receipts, which record interactions and serve as proof. Consent Receipts have benefits for organizations and users, helping with legal compliance and protecting personal data.
Article
Chemistry, Multidisciplinary
Mladen Amovic, Miro Govedarica, Aleksandra Radulovic, Ivana Jankovic
Summary: Smart cities leverage digital technologies to enhance geospatial data exchange, boost data utilization, and establish new services for sustainable development. The GAMINESS management system, based on big data modeling principles, efficiently stores and manages vast amounts of structured, semi-structured, and unstructured data in real time, improving system performance through the five V principles.
APPLIED SCIENCES-BASEL
(2021)
Article
Law
Mary D. Fan
Summary: This article addresses the ownership of big data generated through interactions with technology, proposing a model that grants the public the right to benefit from such data. The focus is on protecting individual privacy while allowing controlled access and use of big data for public interest purposes.
NEW YORK UNIVERSITY LAW REVIEW
(2021)
Article
Information Science & Library Science
Thanos Papadopoulos, M. E. Balta
Summary: This article addresses the lack of research on the role of Big Data and Analytics in addressing the challenges and opportunities created by Climate Change for operations and supply chains.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2022)
Article
Development Studies
A. Iasmina Roman, Volker Mauerhofer
Summary: This article examines the challenges faced by Austria and Romania in implementing Regulation (EU) No. 1143/2014 against Invasive Alien Species (IAS) through qualitative content analysis. It highlights obstacles related to creating, updating, and maintaining the Union List, distribution of competences, financial resources, custom controls, national legislation, and awareness, providing insights for policymakers and stakeholders to improve implementation and enforcement of the IAS Regulation.
SUSTAINABLE DEVELOPMENT
(2022)
Review
Immunology
Rokhaya Ba, Estelle Geffard, Venceslas Douillard, Francoise Simon, Laurent Mesnard, Nicolas Vince, Pierre-Antoine Gourraud, Sophie Limou
Summary: In the era of big data, the quantity of available data in both research and care is increasing, which presents challenges for patients, caregivers, and researchers. In the field of transplantation, omics studies have greatly impacted research and the understanding of transplant outcomes. Integrating omics data is challenging due to biases and errors, and normalization and imputation methods have been developed to address these issues. The transplantation field brings additional complexity to omics analysis, and new strategies such as combined risk scores are emerging to better understand graft mechanisms.
Article
Chemistry, Multidisciplinary
Jian Guo, Huaxu Yu, Shipei Xing, Tao Huan
Summary: Advancements in computer science and software engineering have facilitated untargeted metabolomics using mass spectrometry. Processing the large amount of metabolomics data poses challenges that require interdisciplinary knowledge. Our laboratory develops bioinformatics tools to address these challenges and provides freely accessible and regularly updated source codes.
CHEMICAL COMMUNICATIONS
(2022)
