Tools & Platforms
Lecturer Says AI Has Made Her Workload Skyrocket, Fears Cheating
This as-told-to essay is based on a transcribed conversation with Risa Morimoto, a senior lecturer in economics at SOAS University of London, in England. The following has been edited for length and clarity.
Students always cheat.
I’ve been a lecturer for 18 years, and I’ve dealt with cheating throughout that time, but with AI tools becoming widely available in recent years, I’ve experienced a significant change.
There are definitely positive aspects to AI. It’s much easier to get access to information and students can use these tools to improve their writing, spelling, and grammar, so there are fewer badly written essays.
However, I believe some of my students have been using AI to generate essay content that pulls information from the internet, instead of using material from my classes to complete their assignments.
AI is supposed to help us work efficiently, but my workload has skyrocketed because of it. I have to spend lots of time figuring out whether the work students are handing in was really written by them.
I’ve decided to take dramatic action, changing the way I assess students to encourage them to be more creative and rely less on AI. The world is changing, so universities can’t stand still.
Cheating has become harder to detect because of AI
I’ve worked at SOAS University of London since 2012. My teaching focus is ecological economics.
Initially, my teaching style was exam-based, but I found that students were anxious about one-off exams, and their results wouldn’t always correspond to their performance.
I eventually pivoted to a focus on essays. Students chose their topic and consolidated theories into an essay. It worked well — until AI came along.
Cheating used to be easier to spot. I’d maybe catch one or two students cheating by copying huge chunks of text from internet sources, leading to a plagiarism case. Even two or three years ago, detecting inappropriate AI use was easier due to signs like robotic writing styles.
Now, with more sophisticated AI technologies, it’s harder to detect, and I believe the scale of cheating has increased.
I’ll read 100 essays and some of them will be very similar using identical case examples, that I’ve never taught.
These examples are typically referenced on the internet, which makes me think the students are using an AI tool that is incorporating them. Some of the essays will cite 20 pieces of literature, but not a single one will be something from the reading list I set.
While students can use examples from internet sources in their work, I’m concerned that some students have just used AI to generate the essay content without reading or engaging with the original source.
I started using AI detection tools to assess work, but I’m aware this technology has limitations.
AI tools are easy to access for students who feel pressured by the amount of work they have to do. University fees are increasing, and a lot of students work part-time jobs, so it makes sense to me that they want to use these tools to complete work more quickly.
There’s no obvious way to judge misconduct
During the first lecture of my module, I’ll tell students they can use AI to check grammar or summarize the literature to better understand it, but they can’t use it to generate responses to their assignments.
SOAS has guidance for AI use among students, which sets similar principles about not using AI to generate essays.
Over the past year, I’ve sat on an academic misconduct panel at the university, dealing with students who’ve been flagged for inappropriate AI use across departments.
I’ve seen students refer to these guidelines and say that they only used AI to support their learning and not to write their responses.
It can be hard to make decisions because you can’t be 100% sure from reading the essay whether it’s AI-generated or not. It’s also hard to draw a line between cheating and using AI to support learning.
Next year, I’m going to dramatically change my assignment format
My colleagues and I speak about the negative and positive aspects of AI, and we’re aware that we still have a lot to learn about the technology ourselves.
The university is encouraging lecturers to change their teaching and assessment practices. At the department level, we often discuss how to improve things.
I send my two young children to a school with an alternative, progressive education system, rather than a mainstream British state school. Seeing how my kids are educated has inspired me to try two alternative assessment methods this coming academic year. I had to go through a formal process with the university to get them approved.
I’ll ask my students to choose a topic and produce a summary of what they learned in the class about it. Second, they’ll create a blog, so they can translate what they’ve understood of the highly technical terms into a more communicable format.
My aim is to make sure the assignments are directly tied to what we’ve learned in class and make assessments more personal and creative.
The old assessment model, which involves memorizing facts and regurgitating them in exams, isn’t useful anymore. ChatGPT can easily give you a beautiful summary of information like this. Instead, educators need to help students with soft skills, communication, and out-of-the-box thinking.
In a statement to BI, a SOAS spokesperson said students are guided to use AI in ways that “uphold academic integrity.” They said the university encouraged students to pursue work that is harder for AI to replicate and have “robust mechanisms” in place for investigating AI misuse. “The use of AI is constantly evolving, and we are regularly reviewing and updating our policies to respond to these changes,” the spokesperson added.
Do you have a story to share about AI in education? Contact this reporter at ccheong@businessinsider.com.
Tools & Platforms
Hangzhou: China’s Emerging AI Powerhouse
Hangzhou, the picturesque capital of Zhejiang Province, is quickly emerging as a key pillar in China’s artificial intelligence (AI) revolution. Once known primarily for its cultural heritage and as the headquarters of e-commerce giant Alibaba, the city is now transforming into a powerful AI hub, driven by visionary government policies, a dynamic startup ecosystem, cutting-edge academic institutions, and high levels of private and public investment. Its rapid evolution exemplifies China’s broader strategy to lead the global race in artificial intelligence.
Government Initiatives and Strategic Policy Support
A major driver behind Hangzhou’s AI rise is the strong backing of the Chinese government, both at national and provincial levels. The “Hangzhou AI Industry Chain High-Quality Development Action Plan” has set bold objectives: certifying more than 2,000 new high-tech enterprises, launching over 300 large-scale technological projects, and injecting an impressive 300 billion RMB (approx. US$40 billion) into innovation annually. This funding supports AI research, development of cutting-edge applications, infrastructure, and talent cultivation.
Further cementing Hangzhou’s AI ambitions is the revitalization of “Project Eagle,” a policy initiative that allocates 15% of industrial development funds to future industries, with AI being a priority. These initiatives are not only helping to establish Hangzhou as a hub of AI innovation but are also attracting domestic and international investors eager to tap into this growth.
The Rise of the “Six Little Dragons”
One of the most notable signs of Hangzhou’s AI success story is the emergence of six pioneering startups, collectively referred to as the “Six Little Dragons.” These companies represent the city’s growing diversity and sophistication in AI application:
DeepSeek – Known for its work in natural language processing and large language models.
Game Science – A game development firm leveraging AI in next-gen interactive experiences.
Unitree Robotics – Specializes in agile AI-powered robots for various industrial and consumer applications.
DEEP Robotics – Develops quadruped robots capable of complex navigation and movement, often used for security and research.
BrainCo – Focuses on brain-computer interface (BCI) technologies that merge neuroscience and machine learning.
Manycore Tech – A hardware and software AI solutions provider with strengths in chip design and high-performance computing.
These companies are not only rapidly scaling within China but are also attracting international attention for their technological advancements and commercialization potential. Their presence underscores Hangzhou’s strength in fostering both technical excellence and business scalability.
Academic Foundations and Skilled Talent Pipeline
Hangzhou’s AI ecosystem is further bolstered by a solid academic foundation. Zhejiang University, one of China’s top-tier institutions, plays a critical role in producing AI talent and thought leadership. The university houses cutting-edge research labs and has established partnerships with top tech firms for collaborative innovation.
Graduates from Zhejiang University and other local institutions often go on to found startups or take leadership roles in the AI industry. The close connection between academia and industry ensures a continuous exchange of ideas, innovation, and expertise, which is essential for sustained growth in emerging technologies like AI.
In addition, Hangzhou has invested in AI-focused education and vocational training programs to ensure that its workforce remains competitive. This comprehensive talent strategy allows the city to meet the growing demand for data scientists, machine learning engineers, and AI researchers.
Industry Collaboration and Corporate Investments
Beyond startups and academia, major corporate players are betting big on Hangzhou’s AI future. Most notably, Alibaba, headquartered in the city, has been at the forefront of this transformation. Under the leadership of Eddie Wu, the company has pledged to deepen its involvement in generative AI and has launched internal initiatives aimed at developing new AI products and services.
In parallel, Alibaba has worked to attract foreign capital to Hangzhou’s AI sector, especially in connection with the Six Little Dragons. Following Jack Ma’s involvement in a high-level business symposium with President Xi Jinping, Alibaba’s influence in shaping Hangzhou’s AI roadmap has only increased.
Other corporations and venture capital firms are also taking notice. Investment funds are flowing into AI development zones, incubators, and innovation labs across Hangzhou, helping to establish a robust support system for tech entrepreneurship and research.
Infrastructure, Challenges, and Long-Term Outlook
Despite these promising developments, Hangzhou faces several challenges that come with rapid growth. Talent retention remains a concern, as other Chinese cities like Beijing and Shenzhen compete for the same AI professionals. Furthermore, as AI technology demands powerful computing infrastructure, continued upgrades in data centers, power grids, and 5G connectivity are essential.
Additionally, navigating regulatory uncertainty and ensuring responsible AI development will be key for Hangzhou to maintain sustainable growth. The city must also remain agile in adapting to global shifts, including trade policies, technology standards, and geopolitical tensions that may impact international partnerships and supply chains.
Nonetheless, the city’s proactive governance, talent pool, and innovative momentum offer strong indicators that Hangzhou is well-positioned to become a global AI innovation hub. As China continues to push its national AI ambitions, Hangzhou stands out as a leading example of how a regional city can emerge as a technological powerhouse through visionary planning, strong public-private partnerships, and relentless innovation.
Tools & Platforms
Microsoft Slashes 9,000 Jobs: AI Ambitions Steer the Ship
Tech Giant Restructures to Fuel AI Innovations
Last updated:
Edited By
Mackenzie Ferguson
AI Tools Researcher & Implementation Consultant
In a significant move, Microsoft has announced the layoff of 9,000 employees as it pivots its strategic focus towards artificial intelligence. This decision underscores the tech giant’s commitment to advancing in the increasingly competitive AI space, while reflecting broader industry trends of automation and AI integration. The layoffs have sparked a spectrum of reactions, from industry analysts highlighting the inevitability of AI transition, to public concerns over job security in the tech sector. Microsoft’s strategic decisions are likely to have long-term implications for the company’s workforce dynamics and its positioning in the tech landscape.
Background Info
The ongoing transformation in the tech industry has seen significant moves from major players like Microsoft. Recently, Microsoft has been in the news for its decision to cut around 9,000 jobs. This move is part of a broader strategy to pivot more aggressively towards artificial intelligence technologies, a field that the tech giant believes holds the keys to future growth and innovation. For more details, you can read the full article on The Daily Star.
The job cuts at Microsoft resonate with a larger trend in the tech sector, where companies are slimming down operations in legacy areas while investing in artificial intelligence and other forward-looking technologies. This shift is not only a response to changing market dynamics but also a proactive effort to stay competitive in a rapidly evolving industry landscape where AI is becoming central to product development and consumer engagement. More about this strategic shift can be found in the article from The Daily Star.
News URL
In a surprising pivot towards artificial intelligence, Microsoft has announced the layoff of 9,000 employees as part of its strategic shift. This move underscores the company’s resolute focus on AI as a cornerstone of its future innovations, signaling the profound impact artificial intelligence is expected to have on the tech industry landscape. While the tech giant has assured stakeholders of a renewed commitment to pioneering AI technologies, this decision has stirred conversations about the broader implications for the workforce within the tech sector and beyond.
Article Summary
The recent announcement from Microsoft regarding its decision to cut 9,000 jobs has sent ripples across the tech industry. This significant workforce reduction is part of the company’s strategic shift to intensify its focus on artificial intelligence. The move aligns with Microsoft’s broader vision of integrating AI into its core operations and product offerings, a step that illustrates the growing trend among tech giants to prioritize AI advancements. These layoffs, although difficult, are seen as a necessary adaptation to stay competitive and relevant in the rapidly evolving tech landscape. For additional details, you can view the full article on The Daily Star.
Related Events
In the rapidly evolving tech landscape, significant corporate decisions often reverberate through related sectors. Such is the case with Microsoft’s recent announcement to cut 9,000 jobs as it shifts its focus towards artificial intelligence (AI). This strategic move, detailed by The Daily Star, is not an isolated event. Tech giants around the globe have been constantly restructuring their workforces in response to the growing demands and opportunities within the AI sector. In recent years, companies like Google and Amazon have also initiated job cuts and increased investments in AI research, suggesting a broader industry trend aimed at harnessing AI’s transformative potential.
The ripple effects of Microsoft’s decision are being felt across the tech industry. With a significant workforce reduction, similar shifts are anticipated as businesses recalibrate their focus on future technologies. The Daily Star article highlights this transition amidst growing competition and an increased push for innovation in AI capabilities. As organizations align their strategies with next-generation technologies, it’s not uncommon for such strategic pivots to lead to mergers, acquisitions, and partnerships, all aimed at consolidating resources and expertise in AI.
Historically, the tech industry’s move towards AI has seen numerous related events, with companies pivoting from traditional technology roles to more digitized, automated functions. According to a report by The Daily Star, this shift indicates a broader industrial transformation, where AI is set to redefine business operations and service delivery. Related events in this space typically include increased funding for AI startups, collaboration between tech firms and academic institutions for AI research, and policy changes affecting AI development and deployment.
The decision by Microsoft to cut jobs in favor of AI focus is not an anomaly but part of a clear pattern seen across many other corporations. For instance, recent events saw similar workforce optimizations at IBM and Meta, where thousands of jobs were restructured post a strategic realignment with AI and cloud services. As these companies continue to navigate the complexities of AI development, the industry witnesses a series of adaptations and innovations designed to stay competitive, as highlighted by industry experts in coverage such as the one by The Daily Star.
Expert Opinions
The decision by Microsoft to cut 9,000 jobs as it pivots towards artificial intelligence has sparked a range of opinions among industry experts. Many recognize this move as a strategic realignment, crucial for maintaining competitive advantage in an evolving tech landscape that increasingly prioritizes AI capabilities. Analysts highlight that such a shift could allow Microsoft to focus its resources on developing advanced AI tools and solutions, potentially setting new industry standards. However, there are concerns about the broader implications for the workforce, with experts warning that redundancy waves could become more frequent as companies pursue automation and AI advancements. Microsoft’s AI focus is seen by some as a harbinger of larger trends where AI dominance takes precedence over traditional roles.
Some experts argue that the pace of AI adoption may lead to short-term discomfort, but it is a necessary evolution in the field of technology. They believe companies like Microsoft are setting a precedent for others, emphasizing innovation over expansion and routine processes. By concentrating on artificial intelligence, Microsoft is likely positioning itself as a leader in AI-driven solutions, which could pave the way for new opportunities in the tech sector. These opportunities might include partnerships between tech giants and startups, further deepening the integration of AI in various industries. Strategic focus on AI is viewed by industry leaders as a forward-thinking approach necessary to harness the full potential of emerging technologies.
Public Reactions
The recent announcement by Microsoft to lay off 10,000 employees as it shifts its focus towards AI development has sparked a wide spectrum of public reactions. Many see this as a stark reflection of the shifting tech landscape, where automation and AI advancements are prioritizing efficiency over human labor. The move has prompted discussions around the long-term implications for tech workers, with some expressing concerns about job security in an increasingly AI-driven industry. Social media platforms have been abuzz with varied opinions, particularly highlighting the impact on affected families and communities. On the other hand, some tech enthusiasts argue that this shift could open new avenues for skilled labor in AI and machine learning sectors, highlighting the need for workforce adaptation.
Citizens have taken to platforms like Twitter and Facebook to express their concerns and optimism in equal measure. There is a clear divide between those who view the layoffs as an inevitable step towards technological progress, and those who criticize it as a move prioritizing profits over people. The decision by Microsoft, detailed in this article, has also initiated debates among industry experts about the ethical considerations of AI implementation at the cost of human employment.
Community forums and online discussion groups are buzzing with debates about the fairness and impact of these layoffs. While some defend the necessity of such measures in a rapidly evolving tech-world, others question if companies like Microsoft should play a more active role in reskilling their workforce. The decision has ignited conversations not only about the present state of the tech industry but also about the future pathways that big tech firms might forge as they lean more heavily into AI innovations. This has clearly highlighted the need for a balanced approach that considers both technological advancement and human capital.
Future Implications
The decision by Microsoft to cut 9,000 jobs, as outlined in a recent article by The Daily Star, serves as a testament to the shifting priorities within the tech industry. This move underscores a broader trend where technological giants are increasingly pivoting towards artificial intelligence, aiming to harness its potential to drive growth and innovation (source). The implications of such a strategic reorientation are enormous, with the potential to reshape job markets and redefine skill sets required in the coming years.
As Microsoft intensifies its focus on AI, the company is likely to influence other tech leaders to accelerate their investments in similar innovations. This heralds a new era where AI could become central to a wide range of applications, from enhancing user experiences to optimizing business operations. The ripple effects of this shift could be profound, affecting everything from educational curriculums to governmental policies centered around technology adoption (source).
The workforce landscape is set to transform as AI continues to integrate into various sectors. With Microsoft’s current trajectory, there is a growing need for professionals skilled in AI and related fields. This trend presents both challenges and opportunities; while some jobs may become obsolete, new roles centered around the development and management of AI technologies are expected to emerge. This transition will demand adaptability and continuous learning from the current and future workforce (source).
Public reaction to Microsoft’s strategic focus indicates a mix of apprehension and optimism. While there are concerns about job displacement, there is also excitement about the potential advancements and efficiencies AI can bring. This balancing act of managing workforce impacts while advocating for technological progression is a narrative that many companies will need to navigate in the years ahead, as highlighted by the coverage from The Daily Star (source).
Tools & Platforms
This smart home tech is another way Apple is falling behind in AI
Amazon, Google, and Samsung are all working on an exciting way to bring AI to smart homes – and Apple risks being left behind.
Samsung is first to launch the new feature: the ability to use natural language to simply tell your smart home app what it is you want it to do …
Samsung Smart Things is effectively the Korean company’s equivalent of HomeKit. All compatible devices can be controlled through a single app on the company’s smartphones, in exactly the same way the Home app can be used on iPhones.
Currently, configuring a new automation in Apple’s Home app isn’t a very user-friendly experience for non-techy users. What Samsung has just announced, and The Verge reports is available now in its app, is a Routine Creation Assistant to automate scene-creation.
This lets you type a phrase describing what you want your home to do in the SmartThings app — like “turn off all the lights whenever I leave the house” — and it will set it up without you needing to configure each device or setting.
While that particular example is easy enough to do in Apple’s Home app, as there’s a specific “when the last person leaves home” trigger, other routines can be trickier for normal people.
For example, I have a timed automation for when I start work. This closes my office blind, switches on lighting to a cool color temperature for concentration, and switches off lights in other rooms.
Configuring this required me to create a scene, add accessories, specify their state, and then create an automation to activate that scene at a certain time on certain days (I do it this way so that I also have the option of manually activating the scene). For someone who isn’t used to the kind of flow and logic involved, creating this kind of thing can definitely be intimidating.
If Samsung’s app lets you create arbitrary automations as easily as telling the AI what you want, that’s a huge step forward in making smart home tech appealing to mass-market consumers.
And it’s not just Samsung: both Amazon and Google are already beta-testing exactly the same type of natural-language functionality. So pretty soon, Apple – once the leader in making smart home tech friendlier – could be the only major platform not to offer this.
Another area where Samsung is pulling ahead is by adding time delays.
Another update to SmartThings routines is the option to schedule multiple timed steps using a Delay Actions feature. For example, Samsung says, “Users can now create a ‘Good Morning’ routine that turns on bedroom lights at 7:00 a.m. [and] starts the coffee maker 15 minutes later.”
I’ve often wanted that ability, for example a goodnight routine that switches on the bedroom lights and turns off the rest, but waits 30 seconds before switching off the hallway lighting to show the way to the bedroom.
Finally, Samsung also lets you opt for a notification you tap to confirm you want something to run, which could be useful where you can anticipate potential clashes between timed automations and manually-activated scenes, depending on things like when people get up in the morning.
Shortcuts would be one way of doing this kind of thing, but that’s a lot clunkier than being able to do everything in one simple app. Apple has some catching up to do here.
Photo by Đức Trịnh on Unsplash
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