Professional Ethical Concerns and Recommendations on Psychological Interventions during the COVID-19 Pandemic in China

When COVID-19 pandemic hit China,Chinese clinical psychologists,counselors and other practitioners reacted quickly to provide psychological interventions for different target groups.Different professional ethical concerns and potential transgressions arose during different stages of pandemic.This paper aimed to summarize different ethical concerns and transgressions during different stages of pandemic in China,as well as how the professional ethical workgroup in the registration system of clinical psychologists and professional organizations of Chinese Psychological Society(CPS)to publish a series of documents as recommendations on ethical practice.It is hoped by providing a picture of“problems vs.solutions”in terms of professional ethical issues on psychological interventions for COVID-19 pandemic in China,the paper may provide certain inspirations as well as emotional support to clinical practitioners from other countries and regions who have beenfighting the pandemic.

Integrating GPT into the Journalism and Communication Industries:The Technological Logic,Ecosystem Reconstruction,and Ethical Chal enges

Generative AI,represented by GPT(Generative Pre-trained Transformer),is now leading the technological revolution and is reconstructing the journalism and communication industries'ecosystems because of its powerful generative capacity and diverse range of outputs.While GPT is busy revolutionizing and innovating the production of news content,working patterns,and operation modes,it has also given rise to ethical concerns in regard to news authenticity,data security,humanistic values,and other related aspects.Therefore,it is imperative to initiate strategies and approaches,such as establishing a mechanism for verifying information authenticity,enhancing data security and privacy regulations,and instituting an ethical supervision and governance framework for AI,in order to facilitate the systematic advancement of AI-based news production while reinstating public trust.

A view on big data and its relation to Informetrics

Purpose: Big data offer a huge challenge. Their very existence leads to the contradiction that the more data we have the less accessible they become,as the particular piece of information one is searching for may be buried among terabytes of other data. In this contribution we discuss the origin of big data and point to three challenges when big data arise: Data storage,data processing and generating insights.Design/methodology/approach: Computer-related challenges can be expressed by the CAP theorem which states that it is only possible to simultaneously provide any two of the three following properties in distributed applications: Consistency(C),availability(A) and partition tolerance(P). As an aside we mention Amdahl's law and its application for scientific collaboration. We further discuss data mining in large databases and knowledge representation for handling the results of data mining exercises. We further offer a short informetric study of the field of big data,and point to the ethical dimension of the big data phenomenon.Findings: There still are serious problems to overcome before the field of big data can deliver on its promises.Implications and limitations: This contribution offers a personal view,focusing on the information science aspects,but much more can be said about software aspects.Originality/value: We express the hope that the information scientists,including librarians,will be able to play their full role within the knowledge discovery,data mining and big data communities,leading to exciting developments,the reduction of scientific bottlenecks and really innovative applications.

CRISPR/Cas9 from bench to bedside:What clinicians need to know before application?

In October 2020,Dr.Emmanuelle Charpentier and Dr.Jennifer Doudna won the Nobel Prize in Chemistry for their pioneering work in precise genome editing using the CRISPR technology.Although CRISPR technology has developed rapidly in the last decade,there are still many uncertainties before eventual use in clinical settings.In this mini review,we summarize the current efforts in addressing the limitations of CRISPR technology and future directions.

Trustworthy Artificial Intelligence for Social Governance

As AI technology continues to evolve,it plays an increasingly significant role in everyday life and social governance.However,the frequent occurrence of issues such as algorithmic bias,privacy breaches,and data leaks has led to a crisis of trust in AI among the public,presenting numerous challenges to social governance.Establishing technical trust in Al,reducing uncertainties in AI development,and enhancing its effectiveness in social governance have become a consensus among policymakers and researchers.By comparing different types of AI,the paper proposes and conceptualizes the idea of trustworthy Al,then discusses its characteristics and its value and impact pathways in social governance.The analysis addresses how mismatches in technological trust can affect social stability and the advancement of AI strategies.The paper highlights the potential of trustworthy AI to improve the efficiency of social governance and solve complex social problems.