The bet365 sportsbook review research company OpenAI recently issued an announcement on its official website，The first developer conference will be held in San Francisco on November 6th。Nearly a year has passed since the release of ChatGPT at the end of November 2022，The “ChatGPT fever” that once became one of the hot topics in the world has cooled down，But the “cold thinking” brought about by this opportunity is far from over。Where does the necessity and importance of regulating bet365 sportsbook review tools such as ChatGPT come from？What kind of regulatory ideas and regulatory strategies are currently in urgent need of further exploration？Our reporter interviewed foreign experts and scholars with practical experience in related fields。

　　bet365 sportsbook review needs cannot be avoided

Professor, Future Computing Institute, Rensselaer Polytechnic Institute, USA、Founding Director James Hendler is one of the founders of the Semantic World Wide Web and the Knowledge Graph。He emphasized in an interview with this reporter，ChatGPT is not the only one that needs to be regulated，Algorithms represented by bet365 sportsbook review algorithms also need to be subject to supervision。According to Handel，The American Computer Society’s Global Technology Policy Committee, of which he serves as chairman, issued a statement at the end of October 2022，Entitled "Statement on Principles for Responsible Algorithmic Systems"，Summary of a series of regulatory opinions and suggestions。

The algorithm is independent、A series of step-by-step operations，Used to perform calculations、Data processing and automated inference tasks。Many bet365 sportsbook review algorithms are based on statistical models，Through machine learning，Use data sets for "learning" or "training"，Others are driven by analytics – discovery、Interpret and communicate meaningful patterns in data。The algorithms and other underlying mechanisms used by bet365 sportsbook review and machine learning systems to make specific decisions may be opaque，The reasons may include informational factors (the data used to train the model and create the analysis was used without the data subject’s knowledge or explicit consent)、Technical factors (the algorithm itself is not easily explained simply and clearly)、Economic factors (the cost of transparency is too high)、Competitive factors (transparency conflicts with the protection of business confidentiality or may make it possible to manipulate decision boundaries)、Social factors (disclosure of information may violate privacy expectations), etc.。This makes it more difficult to understand，It is also more difficult to judge whether the output results are biased or wrong。

Even well-designed algorithmic systems cannot avoid unexplained results or errors，For example，The training data used does not match the application purpose，Or the conditions for using the algorithm have changed，The assumptions upon which this system was designed are no longer valid。Using a broadly representative data set alone does not guarantee that a system will be free of bias。Data processing method、User feedback loops and the way the system is deployed can cause problems。Today’s world，Algorithmic systems based on bet365 sportsbook review are increasingly used to predict individuals、Making and advising on decisions that have far-reaching impacts on organizations and society，Employment、Credit、Machines are involved in many decisions such as educational admissions，But there is a lack of sufficient substantive review completed by manpower。Although the algorithm system relies on people to be more fair to society、Tolerance、Good wishes for efficiency，Such a vision will not be realized automatically with automation。Just like human decisions，The decisions made by machines may also be unsatisfactory，causing negative social impacts such as discrimination。In view of the above reasons，Ensure that algorithmic systems fully comply with established laws、Ethical and Scientific Norms，And make the risks of its application commensurate with the effectiveness of solving the problem，It becomes the right thing to do。

The internal classification of bet365 sportsbook review is very important，Different types of bet365 sportsbook review should not be confused。Philipp Hacker, Professor of Law and Ethics in Digital Society, New School for Digital Research (ENS), Germany、Andreas Engel, a researcher at the Law School of Heidelberg University in Germany, and others also believe that，Large-scale generative bet365 sportsbook review models (LGAIMs) have been used by millions of individual and professional users to generate human-level text、image、Audio and Video，They are dramatically changing how people communicate、Work、How to create and imagine new content。ChatGPT、Large-scale generative bet365 sportsbook review models such as Stable Diffusion are expected to affect various fields of society，From business to medicine，From education to scientific research to art。This frees up professionals to focus on substantive work，It helps to be more effective as a decision-making engine、Allocate resources more fairly。However，They bring huge potential and significant risks at the same time，For example，May make fake news、Harmful remarks are rampant。Large-scale generative bet365 sportsbook review models run at high speed、The generated text is more grammatically accurate，Making it the “only choice” for large-scale production of false information that appears to be rigorous but is actually seriously misleading。Therefore，Strengthening content review is a very urgent requirement。

　　Trust expectations bet365 sportsbook review not be too high

Mark Coeckelbergh, professor of philosophy of media and technology at the Department of Philosophy, University of Vienna, Austria, told this reporter，bet365 sportsbook review tools like ChatGPT involve a series of ethical and moral issues，It is still not reliable enough，There are many errors and misinformation。However，Some people put too much trust and too high expectations in these tools。In addition，Some people are also worried，When bet365 sportsbook review tools develop to an extremely high level，May take away some job opportunities。This pair of writers、Reporter、What does it mean to be a copywriter and other people who make a career out of writing？How should universities and primary and secondary schools deal with students using bet365 sportsbook review tools to ghostwrite articles？People need rules at the organizational level，It is also necessary for school entities to strengthen management。The education sector needs to be better prepared for the potential disruption caused by bet365 sportsbook review technology，This does not mean AI tools should be banned，Because they can also effectively contribute to the development of education and research。Policy support from governments and organizations is essential，Government、Both the public and private sectors need to take action。The private sector can also take an active role，But it needs to accept the supervision and management of governments at all levels。Enterprises, especially large enterprises, have the social responsibility to respond to relevant challenges。In addition，The voice in public opinion on ethical issues of bet365 sportsbook review can also help to properly solve the problem。

In Cockberg’s view，Under relevant academic research，Users’ expectations for bet365 sportsbook review、The deception of users by bet365 sportsbook review tools is an important topic，This is especially true for technical design，Analysis of the impact of bet365 sportsbook review on the job market is also an indispensable research topic。To develop appropriate policies and regulations，It is not advisable to only follow ChatGPT，We should pay attention to how various bet365 sportsbook review tools will and have already changed our society。Corkberg concluded，There is no need to panic about this，Humans can make a difference，Because ChatGPT is not "evil"，bet365 sportsbook review can also play a positive role in social development。What people need to do is to ensure that the development and application of bet365 sportsbook review are ethical，And develop effective and transparent regulatory measures，To promote reasonable development and application。Handel said at the end of the interview，There is no "magic" behind bet365 sportsbook review，It is just one of the many technologies that human society needs to regulate。The international community has at least to some extent effectively dealt with nuclear proliferation、Climate change、Challenges such as legislation on the ocean and its use，People need to be more aware of bet365 sportsbook review、Actively explore problem-solving mechanisms in the supervision and management of social media, etc.。

　　bet365 sportsbook review measures should not lag behind

Handel explained in the interview the reasons for viewing and responding to bet365 sportsbook review regulatory issues from an international perspective。Whether existing bet365 sportsbook review regulatory measures are well suited to supervising emerging tools like ChatGPT，He confessed，In his opinion，so far，Many regulatory measures for bet365 sportsbook review and social media are relatively backward，And there are great differences between countries，Not very efficient。To connect different laws and policies around the world，This makes supervision quite difficult。If international organizations such as the United Nations can play a greater role in specific issues such as algorithm security and privacy protection，It would be a good thing。“The challenge that companies like OpenAI face when dealing with so many different rules is，How to stay innovative and open while following the rules。TikTok is one of the most popular apps in the world，But it is torn between US and European laws。The challenges it faces are a good example of why we need more international agreements。" Handel explained。

Cockberg also noted the adverse impact that lag may have on bet365 sportsbook review regulation。He told reporters，When formulating regulatory rules，For example，When he himself participated in relevant work as a member of the European Commission’s High-Level Expert Group on bet365 sportsbook review，The emerging tool ChatGPT has not yet come out。This points to a series of questions，For example，Does ChatGPT pose a high risk？Such an example，The current plans adopted by organizations such as the European Commission to regulate bet365 sportsbook review may be imperfect。Cockberg thinks，A very important point is，In designing and developing tools such as ChatGPT，Explain its limitations to users，This includes clarifying that it is "a machine" rather than "a real person"。In this way，Technology-related expectations can be better managed。In addition，For the government，It is also important to predict the impact of AI-based automation on the workforce，For example，How to deal with potential unemployment problems that may be caused by bet365 sportsbook review tools。

Proposed by Hacker, Engel and others，AI regulation in the EU and many other regions mainly targets traditional AI models，Instead of a large generative bet365 sportsbook review model。In other words，Existing regulatory measures are insufficiently prepared for the rise of a new generation of bet365 sportsbook review models，May not handle its outstanding versatility、Risks brought by features such as wide range of applications。The case of large-scale generative AI models highlights the limitations of regulatory measures that specifically target certain technologies，Easy to lead to regulatory gaps，Requires special attention from legislators。Research by Hacker and Engel et al. also showed，Technology-neutral regulatory rules may be more effective。This is because，Technology-specific regulations may face obsolescence issues before or soon after they are formally enacted。To improve the trustworthiness of large-scale generative bet365 sportsbook review models，Ensure they better serve the overall interests of society，They suggested，Regulatory strategies can be formulated from the following five aspects。

　First，Distinguish between different actors at the level of discourse，The developers who pre-trained the model、The deployer who fine-tunes the model as needed for specific use cases and the recipient of the output，Consumers who are exposed to advertisements or products generated by bet365 sportsbook review，This allows more detailed regulatory obligations to be tailored to different participants in the AI ​​value chain。Second，The rules in direct regulation should be adapted to the characteristics of large-scale generative bet365 sportsbook review models。Regulatory laws and regulations should pay special attention to specific high-risk applications，Instead of treating the pre-trained model as a whole。ChatGPT developers are expected to anticipate and resolve every issue in every possible high-risk scenario when using the tool，It’s unrealistic。For EU countries，The focus could be on how to ensure success in high-risk scenarios such as scoring resumes in hiring decisions，Those who deploy and use tools can comply with the transparency and risk management aspects of the high-risk obligations of the EU’s bet365 sportsbook review Act。Third，Ensure developers adhere to non-discrimination principles，Prevent biased output from the source，This is particularly relevant when developers collect and manage training data from the Internet。Fourth，Develop detailed transparency obligations。For developers and deployers，This involves performance indicators of bet365 sportsbook review tools、Risks regarding harmful speech discovered during model pre-training；For users，This involves disclosure of content generated by its use of bet365 sportsbook review tools。Fifth，EU countries should expand content moderation rules in bet365 sportsbook review regulations such as the Digital Services Act，Including notification and operation mechanisms、Comprehensive audit, etc.，So that its scope of application can better cover large-scale generative bet365 sportsbook review models。In short，Content review should be carried out during the content generation stage，Instead of remedial action，otherwise，The negative impact of bet365 sportsbook review on harmful speech and fake news may be difficult to contain。

Handel told reporters，Exploring the biggest challenge in the supervision of bet365 sportsbook review tools such as ChatGPT，The research object is a "moving target"，Algorithms are protected by many laws because of their industrial property rights，And in a state of constant change。This requires researchers to find forward-looking methods by exploring ethical issues that may arise in the future，Thus "walking ahead"，Instead of just trying to fix the problem that has already occurred。He told reporters，From the perspective of cases in the field of bioethics，This is possible - the ethical dilemma of "human cloning" or "customized babies"，Before technically implemented，It has been solved by the academic community through unity and cooperation。Relevant researchers need to communicate more with bet365 sportsbook review experts，Learn more about possible scenarios that could have a significant social impact in the future，Rather than just trying to "catch up" with existing systems。For example，Although building and deploying quantum machines is a highly competitive field，But there is relatively little research on ethical applications of quantum machines。“Now is the time to think about this question，Instead of waiting until they are commercially viable。" said Handel。