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Global policymakers, executives urge open collaboration to share opportunities of AI-Xinhua

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A robot is displayed at the exhibition area of the 2025 Global Industrial Internet Conference in Shenyang, northeast China’s Liaoning Province, Sept. 6, 2025. (Xinhua/Pan Yulong)

SHENYANG, Sept. 11 (Xinhua) — The 2025 Global Industrial Internet Conference concluded on Monday in Shenyang, the capital of northeast China’s Liaoning Province, having seen Chinese and international guests issue a call for open cooperation to share in the new opportunities presented by artificial intelligence (AI).

The conference brought together government and business representatives from over 10 countries, including Brazil, the United States, the Republic of Korea, Saudi Arabia and China, spanning sectors such as mobile communication, AI and high-end manufacturing. Attendees held in-depth discussions on how to better advance intelligentization, network connectivity and digitalization in economic development.

Piero Scaruffi, founder of Silicon Valley Artificial Intelligence Research Institute, said that AI technology is not a zero-sum game, but rather a catalyst for mutual benefits and shared success. Today’s advancements in AI have benefited greatly from international cooperation.

Tang Lixin, vice president of Northeastern University in Liaoning and an expert on industrial intelligence, told Xinhua that AI has become a strategic technology leading a new technological revolution and industrial transformation. It is a critical strategic resource driving global technology leaps, industrial optimization and upgrading, and overall productivity advancement, exerting profound impacts on economic and social development. Promoting the healthy, orderly development of AI has become particularly urgent, he noted.

“AI presents a shared opportunity for all humanity, as well as a common challenge we all face,” said Hermano Tercius, secretary of telecommunications at the Ministry of Communications of Brazil, adding that in the current complex and ever-changing international environment, strengthening international cooperation in the field of new technologies is crucial.

He said that as the world’s third-largest user of AI, Brazil still lags behind in data center construction. This necessitates collaboration with countries that have advantages in digital infrastructure to achieve complementary benefits and mutual success.

The further advancement of global AI technology hinges on the existence of an open, inclusive environment for innovative collaboration. During the conference, many participants highlighted challenges in areas such as governance frameworks and technical standards that current global AI development faces.

“AI has triggered significant transformations in the technological landscape. Without better compliance-driven rulemaking, it is difficult to predict its future trajectory. Global cooperation is essential to address these challenges,” said Alexandre V. Chidiac, managing partner of Iskandar Group, which is a company engaged in international shipping and trade.

“We advocate for inclusive policies and environments in the field of AI among all nations,” Tercius said. “Only through such efforts can we ensure that no country is left behind in this technological revolution, and build a robust bridge towards shared prosperity and an interconnected future for the world.”

Ben Sassi, general manager of the Warsaw Chamber of Commerce in Poland, stated that there is an urgent global need to strengthen dialogue, enhance mutual trust, and build widespread consensus in areas such as rule-making, technical standards and ethics to promote the healthy development of AI in a united manner.

Over the years, China has made positive explorations and contributed constructive ideas and solutions to the global governance of AI. The country launched the Global AI Governance Initiative in 2023. And last year, the 78th UN General Assembly reached a historic consensus by adopting a resolution on enhancing international cooperation for AI capacity building, which was spearheaded by China.

Participating guests also expressed their willingness to collaborate with China in the field of AI in the future. Pakistan Global Business Alliance Chairman Muhammad Asif Noor Farooqi, for example, said that he hopes China and Pakistan will enhance cooperation within the digital economy to strengthen Pakistan’s intelligent infrastructure. 



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Tech news: Accordance announces public launch, touts "AI brain" for accountants – Accounting Today

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Tech news: Accordance announces public launch, touts “AI brain” for accountants  Accounting Today



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Fyronex Driftor GPT: Exploring the Technology Behind

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New York City, NY, Sept. 12, 2025 (GLOBE NEWSWIRE) — What Is Fyronex Driftor GPT? – AI-Powered Trading Platform

Fyronex Driftor GPT is an AI-powered trading platform launched in 2025, designed to leverage generative pre-trained transformer (GPT) models for predictive market analysis and automated execution. Unlike traditional trading platforms that rely primarily on human intervention or rigid algorithmic strategies, Fyronex Driftor GPT integrates adaptive AI capable of recalibrating trading strategies in response to changing market conditions.

At its foundation, the system incorporates real-time data streams from global exchanges, financial news outlets, and institutional feeds. This allows the platform’s neural network core to assess shifts in volatility, liquidity, and sentiment at near-instantaneous speeds. Through advanced natural language processing, the system not only reads numerical data but also interprets macroeconomic announcements, policy updates, and market sentiment expressed in news and social feeds.

Fyronex Driftor GPT was constructed with dual objectives: accuracy in trade execution and transparency in reporting. The platform generates a clear record of all AI-generated signals, enabling compliance verification and independent auditing. This transparency is crucial for institutional users who require verifiable data when adhering to regulatory standards.

A distinctive element of the system is its ability to conduct continuous backtesting. By running simulations across historical data, Fyronex Driftor GPT fine-tunes its predictive models, ensuring that trade decisions are not only based on current conditions but are reinforced by decades of financial patterns.

Built with modular scalability, the platform supports trading across multiple asset classes, including cryptocurrencies, equities, forex, and commodities. This flexibility allows professional traders and financial institutions to integrate Fyronex Driftor GPT into diverse investment portfolios while benefiting from a single AI-driven engine. In short, Fyronex Driftor GPT represents a structural evolution in trading platforms by combining adaptive intelligence with robust infrastructure.

Visit the Official Website Here For More Information

Key Features of Fyronex Driftor GPT

Fyronex Driftor GPT is structured with a comprehensive suite of features that highlight its AI-driven infrastructure, scalability, and operational reliability. Each feature has been developed with both functionality and compliance in mind, ensuring that users have access to a platform equipped for modern financial environments.

One of the core features is AI-based predictive modeling, powered by GPT frameworks capable of digesting large quantities of structured and unstructured financial data. This includes live market feeds, historical pricing archives, and macroeconomic data, all of which are processed in real time to generate actionable trading signals. Unlike traditional algorithmic trading systems, Fyronex Driftor GPT continuously adapts as markets evolve, reducing lag in strategy adjustments.

Another key feature is its multi-asset capability, which provides coverage across forex, equities, digital currencies, and commodities. This enables cross-market diversification within one ecosystem. Additionally, its high-frequency execution engine ensures that trades can be executed with minimal latency, an essential factor for participants operating in volatile or fast-moving markets.

Transparency is reinforced by a verified performance data module. This provides timestamped records of executed trades, system decisions, and AI signal generation. The purpose is to maintain a verifiable audit trail, aligning the platform with institutional-grade reporting requirements.

Fyronex Driftor GPT also integrates risk management tools, including configurable stop-loss thresholds, automated risk scoring, and capital allocation protocols. These ensure that risk exposure is continuously monitored and adjusted according to user-defined tolerances.

The user dashboard further enhances usability by presenting data visualizations of market trends, AI signal outputs, and trade histories. Combined with API integration, Fyronex Driftor GPT can connect seamlessly to external tools, broker accounts, and institutional systems, making it adaptable to a wide spectrum of trading environments. Collectively, these features position Fyronex Driftor GPT as a technically advanced AI-powered trading solution.

Open Your Fyronex Driftor GPT Account Now – Only At The Official Website

Fyronex Driftor GPT Security, Transparency & Verified Performance Data

Security and transparency are central components of Fyronex Driftor GPT’s infrastructure, ensuring that users interact with a system that is both resilient and verifiable. The platform implements end-to-end encryption protocols, safeguarding all transmitted data between client interfaces, servers, and financial networks. With this in place, sensitive financial information such as login credentials, trading orders, and account balances remain secure from interception.

In addition to encryption, Fyronex Driftor GPT operates under a multi-layered security architecture that incorporates firewalls, intrusion detection systems, and continuous monitoring of system behavior. This helps identify anomalies and block unauthorized access attempts in real time. Institutional-grade practices such as segregated fund storage and system redundancy also support continuity of operations, even under high-traffic or stress conditions.

Transparency is addressed through the inclusion of auditable trading logs. Every AI-generated signal, trade decision, and execution timestamp is recorded and available for verification. This ensures users and compliance officers can validate the performance claims of the system independently, rather than relying on non-verifiable summaries.

Fyronex Driftor GPT also emphasizes verified performance data, a module that presents historical trade outcomes, backtesting results, and live-trade records. These data sets are time-stamped and immutable once generated, preventing retrospective alterations and preserving data integrity.

For additional protection, the platform integrates two-factor authentication (2FA) to reduce the risk of unauthorized logins and incorporates secure socket layer (SSL) protocols to protect data in transit. System updates and patches are rolled out regularly to maintain defense against evolving cybersecurity threats.

By combining security, transparency, and verifiable data, Fyronex Driftor GPT establishes itself as a structured AI-powered trading solution that adheres to both technical and compliance standards demanded by financial institutions in 2025.

Why Choose Fyronex Driftor GPT? Denmark Consumer Report Released Here

Fyronex Driftor GPT Account Setup Process – Step by Step

The account setup process for Fyronex Driftor GPT has been designed to be straightforward while adhering to international compliance standards. Each step ensures that users gain secure access to the platform while maintaining system integrity.

Step 1: Registration
Prospective users begin by visiting the official Fyronex Driftor GPT website and completing the registration form. Required details include full name, contact information, and a valid email address.

Step 2: Email Verification
Upon registration, an automated verification link is sent to the provided email. Activating this link secures account authenticity and prevents duplicate or fraudulent profiles.

Step 3: Identity Verification (KYC)
To comply with Know Your Customer (KYC) regulations, users upload identification documents such as a government-issued ID and proof of residence. This process ensures compliance with anti-money laundering (AML) standards.

Step 4: Initial Deposit
Once the account is verified, users can fund their account. The minimum deposit requirement is structured at $250, which allows access to the platform’s core features. Multiple funding options are supported, including bank transfer, credit/debit cards, and secure e-wallets.

Step 5: Dashboard Orientation
After funding, users gain access to the Fyronex Driftor GPT dashboard. Here, they can view live data streams, configure risk settings, and familiarize themselves with the AI’s predictive tools.

Step 6: Demo Mode (Optional)
Before engaging in live trading, users can activate the demo mode to practice with simulated funds. This ensures familiarity with the system without financial exposure.

Step 7: Transition to Live Trading
Once comfortable, users can activate live mode. The AI engine begins generating signals, which can be set for manual review or automated execution based on user preferences.

This step-by-step process ensures a secure, compliant, and accessible entry into Fyronex Driftor GPT’s AI-driven trading infrastructure.

More Information on Fyronex Driftor GPT Can Be Found On The Official Website Here

How Fyronex Driftor GPT Works – AI Signals, Automated Trading & Dashboard

Fyronex Driftor GPT operates on a layered architecture that integrates signal generation, execution, and user interaction within a unified system. At the foundation lies its GPT-based AI engine, trained on extensive datasets that combine historical market records, live trading data, and macroeconomic indicators.

AI Signal Generation:
The system continuously scans global markets, processing numerical price data, liquidity flows, and sentiment analysis derived from financial news and reports. Using natural language processing, it interprets unstructured data such as news headlines or policy updates and integrates this information into predictive trade signals.

Automated Trading Module:
Once signals are generated, the automated execution engine translates these into actionable trades. Orders are processed through connected brokerage accounts, ensuring high-frequency execution with minimal latency. Users can configure settings to allow full automation or require manual confirmation for each trade.

Dashboard Interface:
The Fyronex Driftor GPT dashboard provides real-time visualization of AI signals, executed trades, and portfolio performance. It is designed with customizable widgets, enabling participants to track specific asset classes or monitor market indicators relevant to their strategy.

Risk Management Integration:
Risk protocols are embedded directly into the workflow. For instance, when signals are generated, the system cross-references configured stop-loss and capital allocation settings to ensure trades remain within defined tolerances.

Machine Learning Feedback Loop:
Executed trades feed back into the system, enabling ongoing refinement of signal accuracy. This feedback loop ensures the AI core continuously improves its predictive capabilities as more live data is processed.

By combining intelligent signal generation, automated execution, and transparent visualization, Fyronex Driftor GPT functions as a cohesive AI-powered trading infrastructure built for professional-grade application.

Open Your Fyronex Driftor GPT Account Now – Only At The Official Website

Demo Mode & Risk-Free Practice Before Live Trading

Fyronex Driftor GPT includes a fully functional demo mode, providing an environment where participants can explore the platform’s features without committing real funds. This mode mirrors live market conditions by using real-time data streams, ensuring that simulations reflect actual trading dynamics rather than static scenarios.

The demo mode is particularly significant for familiarizing users with the AI-driven signals. All predictive outputs generated by the GPT engine are displayed in the same format as live trading, allowing participants to evaluate their accuracy and consistency before transitioning to financial exposure.

Users can practice configuring risk management settings, such as stop-loss thresholds, portfolio allocations, and order size limits. These simulations help establish comfort with the system’s automated decision-making processes while maintaining complete financial safety.

The demo also provides an opportunity to interact with the dashboard interface, which includes performance graphs, order books, and AI-generated signal notifications. This environment helps participants learn how to interpret system outputs, adjust preferences, and navigate visual analytics effectively.

From a compliance perspective, the demo mode reflects Fyronex Driftor GPT’s emphasis on transparency. Every simulated trade is logged with the same level of detail as live trading, creating a verifiable record that demonstrates system functionality.

Importantly, the transition from demo to live mode is seamless. Once participants are comfortable, they can fund their accounts and activate live trading without needing to repeat configuration steps. The continuity ensures that the skills and knowledge gained during practice sessions translate directly into live execution.

Open Your Fyronex Driftor GPT Account Now – Only At The Official Website

Fyronex Driftor GPT Pricing, Deposits, and Withdrawals Explained

The financial structure of Fyronex Driftor GPT has been designed for clarity and accessibility. Account funding begins with a minimum deposit of $250, which grants access to the platform’s core features, including the AI signal engine, automated trading module, and dashboard tools. This threshold ensures accessibility without compromising on performance.

Deposits can be made using a variety of methods, including bank transfers, credit and debit cards, and recognized digital payment providers. All deposit channels are encrypted and processed through secure gateways, ensuring that funds are transmitted safely and without exposure to interception.

Withdrawals are processed through the same verified channels, maintaining compliance with anti-money laundering regulations. To ensure security, withdrawal requests must be confirmed using two-factor authentication and are only processed to accounts verified under the platform’s KYC procedures. This prevents unauthorized fund transfers while maintaining transparency.

Transaction timelines are structured for efficiency. Deposits typically reflect within minutes for card and wallet payments, while bank transfers may require one to three business days depending on regional banking systems. Withdrawals are processed within 24 to 48 hours after verification.

Fyronex Driftor GPT does not impose hidden charges or unannounced deductions. Instead, the platform maintains a clear fee structure related to trading spreads or commissions, which are disclosed during account setup and visible within the dashboard.

By maintaining transparent pricing, secure deposit protocols, and structured withdrawal policies, Fyronex Driftor GPT provides a financial framework that prioritizes user protection and operational clarity. This infrastructure ensures that participants can manage capital with confidence while utilizing AI-driven trading functions.

Security & User Protection – SSL, 2FA, and Fund Safety

Fyronex Driftor GPT integrates multi-layered security protocols to safeguard both data and capital. All data transmissions are encrypted with SSL (Secure Socket Layer) technology, ensuring that sensitive information such as login credentials, order data, and financial details remains inaccessible to third parties.

For account-level protection, the platform enforces two-factor authentication (2FA). This adds an additional verification step beyond the standard password, typically requiring a mobile authentication code or biometric confirmation. This security layer drastically reduces the likelihood of unauthorized account access.

Fund safety is reinforced through segregated storage policies, where user deposits are maintained separately from operational capital. This ensures that funds are preserved independently, even during periods of high trading activity or technical maintenance. Additionally, multi-signature protocols are implemented for fund transfers, requiring approval from multiple secure nodes before capital is moved.

The infrastructure also incorporates real-time monitoring systems designed to detect anomalies such as unusual login patterns, abnormal order activity, or attempted breaches. Automated alerts are triggered when such behavior is detected, enabling immediate intervention by the security team.

Why Choose Fyronex Driftor GPT? Ireland Consumer Report Released Here
Fyronex Driftor GPT for Beginners & Professionals – Education & 24/7 Support

Fyronex Driftor GPT has been structured to accommodate both beginners entering the trading environment and professionals seeking advanced AI tools. This inclusivity is supported through educational resources and continuous technical support, ensuring participants at every level can utilize the system effectively.

For beginners, the platform includes step-by-step tutorials, interactive guides, and a knowledge base that introduces fundamental trading concepts. These resources cover essential topics such as how AI signals are generated, how risk settings function, and how to transition from demo to live trading. Clear documentation ensures that new participants can quickly become familiar with the system’s functionality.

Professionals, on the other hand, benefit from advanced features such as API integration, detailed performance analytics, and customizable dashboards. These tools allow experienced participants to tailor the system’s AI outputs to their preferred strategies, creating an adaptable environment suitable for institutional or high-volume trading.

Support infrastructure is available on a 24/7 basis, reflecting the global and continuous nature of financial markets. Users can access live chat, email, or phone-based support depending on their needs. Technical inquiries are addressed by dedicated support teams trained in both system operations and compliance requirements.

Educational content is regularly updated to reflect new features and security updates. This ensures that all participants, regardless of experience level, have access to the latest system developments.

Risk Management Tools Integrated in Fyronex Driftor GPT

Fyronex Driftor GPT incorporates a suite of risk management tools designed to maintain control over capital exposure in dynamic markets. These tools are integrated directly into the platform’s workflow, ensuring risk oversight accompanies every AI-generated signal and executed trade.

One of the core mechanisms is the stop-loss configuration, allowing users to predetermine acceptable loss thresholds. Once a market position reaches this limit, the system automatically closes the trade, preventing losses from exceeding the specified boundary.

The platform also features take-profit settings, which enable participants to lock in gains once a target price is achieved. This ensures that profits are secured even in volatile conditions where market reversals occur rapidly.

Capital allocation protocols are embedded into the system, allowing users to define the percentage of account equity allocated per trade. This prevents disproportionate exposure on single transactions and maintains portfolio balance.

Fyronex Driftor GPT further integrates portfolio diversification controls, enabling simultaneous distribution across multiple assets and reducing dependency on any single market.

All risk management tools are accessible within the dashboard and can be customized in real time. Once configured, these tools operate automatically, ensuring consistent oversight without requiring constant manual intervention.

Final Verdict: The Future of AI-Powered Investing With Fyronex Driftor GPT

FYronex Driftor GPT represents a forward-looking development in AI-powered financial technology, combining adaptive machine learning with robust infrastructure designed for secure, transparent, and compliant operation. In 2025, the platform establishes itself not merely as a trading tool but as a structural framework for integrating AI into global financial markets.

Its foundation in GPT-based modeling enables predictive accuracy across multiple asset classes, while its automated execution engine ensures seamless conversion of signals into live trades. The inclusion of a demo mode, risk management tools, and modular scalability ensures that Fyronex Driftor GPT functions as a complete trading ecosystem.

The system’s accessibility extends to both beginners and professionals, supported by educational resources, 24/7 assistance, and customizable dashboards. By accommodating varying levels of expertise, Fyronex Driftor GPT widens its applicability across diverse user groups and regions.

Ultimately, Fyronex Driftor GPT illustrates how artificial intelligence can be applied to trading infrastructure with both sophistication and compliance in mind. By aligning predictive modeling, risk management, and secure financial operations, it creates a platform built for sustainability in an increasingly complex financial environment.

As AI continues to evolve, Fyronex Driftor GPT positions itself at the intersection of technology and finance—an operational model for the future of automated investing.

Visit Here to Register on the Fyronex Driftor GPT – Select Your Country Here!!!

Contact:-
Fyronex Driftor GPT
485 Bd de la Gappe, Gatineau, QC J8T 5T9, Canada
Phone Support: Lexiron Platform Canada: +1 (437) 920-9751
Trading Assistance: +1 (437) 169-3417
Email: support@thefyronexdriftorgpt.org
Website: https://thefyronexdriftorgpt.org/en/
General Disclaimer:
The content provided in this article is for informational and educational purposes only. It does not constitute financial, legal, or professional advice. Readers are advised to consult a certified financial advisor, licensed loan officer, or legal professional before making any financial decisions. The information presented may not apply to every individual circumstance and is not intended to substitute professional judgment or regulatory guidance. The information provided on this website does not constitute investment advice, financial advice, trading advice, or any other sort of advice and you should not treat any of the website’s content as such. We does not recommend that any cryptocurrency should be bought, sold, or held by you. Do conduct your own due diligence and consult your financial advisor before making any investment decisions.
Trading Disclaimer:
Trading cryptocurrencies carries a high level of risk, and may not be suitable for all investors. Before deciding to trade cryptocurrency you should carefully consider your investment objectives, level of experience, and risk appetite. The possibility exists that you could sustain a loss of some or all of your initial investment and therefore you should not invest money that you cannot afford to lose. You should be aware of all the risks associated with cryptocurrency trading, and seek advice from an independent financial advisor. ICO’s, IEO’s, STO’s and any other form of offering will not guarantee a return on your investment.
HIGH RISK WARNING: Dealing or Trading FX, CFDs and Cryptocurrencies is highly speculative, carries a level of non-negligible risk and may not be suitable for all investors. You may lose some or all of your invested capital, therefore you should not speculate with capital that you cannot afford to lose. Please refer to the risk disclosure below. Fyronex Driftor GPT does not gain or lose profits based on your activity and operates as a services company. Fyronex Driftor GPT is not a financial services firm and is not eligible of providing financial advice. Therefore, Fyronex Driftor GPT shall not be liable for any losses occurred via or in relation to this informational website.
SITE RISK DISCLOSURE: Fyronex Driftor GPT does not accept any liability for loss or damage as a result of reliance on the information contained within this website; this includes education material, price quotes and charts, and analysis. Please be aware of and seek professional advice for the risks associated with trading the financial markets; never invest more money than you can risk losing. The risks involved in FX, CFDs and Cryptocurrencies may not be suitable for all investors. Fyronex Driftor GPT doesn”t retain responsibility for any trading losses you might face as a result of using or inferring from the data hosted on this site.
LEGAL RESTRICTIONS: Without limiting the above mentioned provisions, you understand that laws regarding financial activities vary throughout the world, and it is your responsibility to make sure you properly comply with any law, regulation or guideline in your country of residence regarding the use of the Site. To avoid any doubt, the ability to access our Site does not necessarily mean that our Services and/or your activities through the Site are legal under the laws, regulations or directives relevant to your country of residence. It is against the law to solicit US individuals to buy and sell commodity options, even if they are called “prediction” contracts, unless they are listed for trading and traded on a CFTC-registered exchange unless legally exempt. The Financial Conduct Authority has issued a policy statement PS20/10, which prohibits the sale, promotion, and distribution of CFD on Crypto assets. It prohibits the dissemination of marketing materials relating to distribution of CFDs and other financial products based on
Cryptocurrencies that addressed to Hungary/Italy residents. The provision of trading services involving any MiFID II financial instruments is prohibited in the EU, unless when authorized/licensed by the applicable authorities and/or regulator(s). Please note that we may receive advertising fees for users opted to open an account with our partner advertisers via advertisers websites. We have placed cookies on your computer to help improve your experience when visiting this website. You can change cookie settings on your computer at any time. Use of this website indicates your acceptance of this website. Please be advised that the names depicted on our website, including but not limited to Fyronex Driftor GPT, are strictly for marketing and illustrative purposes. These names do not represent or imply the existence of specific entities, service providers, or any real-life individuals. Furthermore, the pictures and/or videos presented on our website are purely promotional in nature and feature professional actors. These actors are not actual users, clients, or traders, and their depictions should not be interpreted as endorsements or representations of real-life experiences. All content is intended solely for illustrative purposes and should not be construed as factual or as forming any legally binding relationship
RISKS ASSOCIATED WITH FUTURES TRADING
Futures transactions involve high risk. The amount of the initial margin is low compared to the value of the futures contract, so that transactions are “leveraged” or “geared”. A relatively small market movement has a proportionately larger impact on the funds that you have deposited or have to pay: this can work both for you and against you. You may experience the total loss of the initial margin funds as well as any additional funds deposited in the system. If the market develops in a way that is contrary to your position or if margins are increased, you may be asked to pay significant additional funds at short notice to maintain your position. In this case it may also happen that your broker account is in the red and you thus have to make payments beyond the initial investment.
RISKS ASSOCIATED WITH ELECTRONIC TRADING
Before you begin carrying out transactions with an electronic system, you should carefully review the rules and provisions of the stock exchange offering the system, or of the financial instruments listed that you intend to trade, as well as your broker’s conditions. Online trading has inherent risks due to system responses/reaction times and access times that may vary due to market conditions, system performance and other factors, and on which you have no influence. You should be aware of these additional risks in electronic trading before you carry out investment transactions.
Accuracy Disclaimer:
All information included in this article is presented in good faith and believed to be accurate at the time of writing. However, no representations or warranties are made regarding the completeness, accuracy, reliability, or timeliness of any information presented. Any reliance placed on such information is strictly at the reader’s own risk. The publisher does not accept responsibility for typographical errors, outdated information, or changes to products, terms, or policies after publication.
Regulatory and Jurisdictional Disclaimer:
Lending laws vary by jurisdiction, and not all services described in this article may be available in every state or region. It is the responsibility of the reader to understand and comply with local laws and regulations. The platforms mentioned are independently operated and are not controlled or endorsed by the publisher.
Third-Party Liability Waiver:
The publisher, its writers, editors, affiliates, and syndication partners shall not be held liable for any direct or indirect loss, damages, or legal claims arising from the use of this content or from reliance on any third-party services, platforms, or products mentioned herein. All loan agreements, terms, and disputes are strictly between the borrower and the lender or service provider.
Syndication Partner Use:
This content may be republished or syndicated by authorized partners under existing licensing or distribution arrangements. All syndication partners are free from liability regarding the editorial stance, financial suggestions, or any user outcome resulting from the reading or application of this content.


            



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New Faculty Member Shiyan Jiang on Bringing AI to Every Classroom

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Newswise — As one of Penn GSE’s newest faculty members, Shiyan Jiang is helping expand what AI education can look like—and who it’s for. She doesn’t believe AI should be confined to computer science classes or taught only by tech experts. Instead, she’s designing curriculum and professional learning that help educators across all subjects bring AI into their classrooms in ways that are accessible, meaningful, and rooted in identity. In this Q&A, Jiang shares her vision for inclusive AI education, what drew her to Penn GSE, and why she believes every teacher can be an AI educator.

Q: What first sparked your interest in education and technology?

A: What sparked my interest wasn’t just the excitement of building software or exploring new technologies—it was the realization that technology can transform how we experience learning. 
As an undergraduate, I was deeply engaged in developing augmented reality tools that made textbooks come alive—books that didn’t just sit on a desk, but responded to the reader, invited interaction, and sparked curiosity. That experience taught me something powerful: when students can see, touch, and engage with ideas in dynamic ways, learning becomes more meaningful. It showed me that technology, when thoughtfully designed, can be a bridge between what students know and what they could imagine.

Q: Can you share a project or area of research you’re especially excited about right now?

A: I’m especially excited about our work on integrating AI across the curriculum in ways that are accessible, meaningful, and sustainable. We started with a simple but powerful idea: AI should be for all students—not just those in computer science classes. So, we created an AI curriculum for high school English Language Arts. But we soon realized that no single subject can capture the full range of what it means to understand AI. That led us to design short, discipline-specific modules—AI for ELA, AI for math, and AI for history—where each teacher contributes just 3–5 hours from their own subject lens, while students gain exposure to AI from multiple perspectives.

What excites me most now is shifting the narrative: AI doesn’t need to be a separate, specialized topic. It can show up in everyday teaching—through a 5-minute classroom discussion or a full 15-hour unit. 
Every teacher has the potential to be an AI educator. So now, my work is focused on supporting teachers in building their AI educator identity, while also studying how students develop their AI learner identities. Because if we want AI education to be truly inclusive, we need to empower every teacher—not just a few—to bring AI into their classrooms.

Q: What drew you to Penn GSE?

A: What drew me to Penn GSE is its bold vision for what education can be. The school’s commitment to interdisciplinary research and leadership in educational innovation aligns perfectly with how I approach my own work—blending AI, data science, and learning sciences to reimagine what’s possible in classrooms.

I’ve long admired the translational work happening at Penn GSE. It’s a place where big ideas are not only welcomed but also supported and scaled. I see tremendous potential to partner with faculty, students, and practitioners at Penn GSE to keep pushing the boundaries of how we think about AI and the future of learning.

Q: How do you hope your work will make a difference for educators or students?

A: I want every student—not just those in computer science classes—to have the opportunity to understand, question, and shape the role of AI in their lives. My work is about making AI education more inclusive and relevant, so that students from all backgrounds can see themselves in AI careers and feel empowered to use data and technology to tackle the issues they care about.

For educators, I hope to remove the barriers that make AI feel intimidating or “not for them.” I design tools, curricula, and professional learning experiences that support teachers in confidently bringing AI into their classrooms—regardless of their subject area or technical background. Because ultimately, if we want AI education to reach all students, we need to equip all teachers to be part of that journey.

Q: What’s something about your research that you wish more people understood?

A: I wish more people understood that education—whether we’re teaching AI, data science, or any other subject—is not just about delivering knowledge. At its core, my research is about creating spaces where students can reflect on who they want to become. When we design learning experiences or build educational tools, the goal isn’t just to teach technical skills—it’s to help students see themselves as capable, curious, and powerful contributors to their communities and the world. Whether they end up working in AI or not, I want students to leave the classroom with a stronger sense of identity, agency, and purpose.

Q: Outside of work, what’s something you’re passionate about or enjoy doing?

A: Outside of work, I love creating creative data visualizations. For me, it’s not just about charts and graphs, but about finding beauty in patterns and helping people see information in new ways. 
I’m also a passionate traveler—especially a food traveler. Wherever I go, the first place I want to visit is the local market. I love experiencing a culture through its food: the ingredients, the smells, the way people gather and cook. It’s a joyful and delicious way to connect with people and places.

Q: When you think about the growing role of AI in education, are you more hopeful or concerned—and why?

A: Honestly, my feelings have evolved over time—just like many others navigating this space. There have been moments when I’ve felt incredibly hopeful, seeing all the new possibilities AI opens up for teaching and learning. And there have been moments of concern, especially when I see issues of bias and over-reliance surface. 

But I’ve come to realize that this kind of fluctuation is part of the exploration process—it’s normal when we’re working with something so new and transformative. Overall, I consider myself an AI optimist. I believe in engaging with these technologies thoughtfully, trying things out, and learning through doing. For me, it’s not about waiting for perfect solutions—it’s about building better ones through reflection, iteration, and inclusive design.





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