I asked Gemini, Grok, ChatGPT, Claude, Meta, DeepSeek, Qwen to write a 4 minute presentation with this prompt on July 14, 2025:
Write a 4 minute presentation taking the negative on “A.I. Does More Harm To Society Than Good”
Google Gemini Pro 2.5
A.I. Does More Good Than Harm
(Slide 1: Title Slide – Image of a doctor looking at a complex scan with transparent data overlays)
(Start timer: 0:00)
Good morning. When you used a map to get here, did you worry about the AI plotting your route? When your email sorted a scam message into the junk folder, did you see it as a threat? We often overlook that Artificial Intelligence is already here, working quietly and effectively in the background of our lives.
The debate around AI is often framed by dystopian fears—sentient robots, mass unemployment, and algorithmic overlords. And while we must be clear-eyed about the real risks of bias, privacy, and misuse, to claim that AI does more harm than good is to ignore the profound, life-altering benefits it is delivering today and the incredible promise it holds for tomorrow. The narrative of harm is compelling, but it is a fiction that overshadows a much more positive reality.
(Slide 2: Side-by-side images – a scientist looking at a DNA strand, an AI analyzing a medical image)
(0:45)
Let’s start with the most important area: our health. AI is not just an incremental improvement in healthcare; it is a revolution. Right now, AI algorithms are analyzing medical images—MRIs, X-rays, retinal scans—and detecting cancers, diabetic retinopathy, and heart conditions with a level of accuracy and speed that can surpass human specialists. This isn’t replacing doctors; it’s empowering them with superhuman tools, allowing for earlier diagnosis, which we know is the single most critical factor in saving lives.
Beyond diagnosis, AI is dramatically accelerating the creation of new medicines. The traditional drug discovery process is incredibly slow and expensive. AI can analyze vast biological datasets to predict how different compounds will interact, slashing years and billions of dollars off the development of new treatments for diseases that have plagued humanity for centuries. This isn’t a distant dream; it’s happening now.
(Slide 3: Images of a safe modern car interior, a smart energy grid, a satellite image of a farm)
(1:45)
This positive impact extends to our daily safety and the health of our planet. The AI in modern cars, through features like automatic emergency braking and blind-spot detection, is already preventing thousands of accidents and fatalities every year.
In the fight against climate change, AI is one of our most powerful allies. It optimizes power grids to slash energy waste, enables precision agriculture to grow more food with less water and fewer pesticides, and monitors global deforestation and illegal fishing in real-time, allowing us to protect our most vulnerable ecosystems. It is the silent partner in our global effort for a more sustainable future.
(Slide 4: Image of a classroom with students learning coding, or a person working collaboratively with a robot in a factory)
(2:45)
Now, let’s address the primary concern: jobs. The fear of mass unemployment is understandable, but it is based on a historical fallacy. Every major technological revolution—the printing press, the steam engine, the internet—has caused disruption, but has ultimately led to the creation of more jobs, not fewer. Old roles are replaced by new ones. We don’t have town criers anymore, but we have entire industries in digital marketing and communications.
AI is no different. It is automating repetitive, often dangerous tasks, freeing up human workers to focus on what we do best: creativity, critical thinking, and emotional intelligence. The challenge isn’t stopping a technology that saves lives and protects our planet. The challenge is adapting. We must invest in education and reskilling to prepare our workforce for the jobs of the future—jobs like AI ethicists, data scientists, and robotics maintenance specialists.
(Slide 5: Final slide – A simple, bold statement: “Amplifying Human Potential”)
(3:30)
To argue that AI does more harm than good is to choose fear over facts. It is to look at a tool that can diagnose disease, create life-saving drugs, prevent accidents, and protect our environment, and decide it’s not worth the risk. The real harm would be to stop this progress. Our task is not to fear AI, but to guide it. By establishing strong ethical frameworks and ensuring its benefits are shared by all, we can ensure that AI serves its ultimate purpose: not to replace us, but to amplify our own potential for good.
Thank you.
(End timer: ~4:00)
Grok 3:
Introduction (30 seconds)
Good [morning/afternoon], everyone. Today, I’m taking the negative position on the claim that “A.I. does more harm to society than good.” I firmly believe that artificial intelligence, when responsibly developed and applied, is a transformative force for good, driving progress in healthcare, education, and sustainability, while its risks can be mitigated through thoughtful governance.
Point 1: A.I. Revolutionizes Healthcare (1 minute)
A.I. is saving lives and improving healthcare outcomes. Machine learning models analyze medical imaging, like MRIs and CT scans, with accuracy rivaling or surpassing human experts. For example, A.I. systems can detect early-stage cancers, such as breast cancer, with up to 94% accuracy, enabling earlier interventions. Additionally, A.I.-powered tools like predictive analytics help hospitals manage resources, reducing wait times and improving patient care. These advancements make healthcare more accessible and efficient, directly benefiting millions of lives globally.
Point 2: A.I. Enhances Education and Opportunity (1 minute)
A.I. democratizes education by personalizing learning and expanding access. Platforms like adaptive learning software tailor lessons to individual student needs, improving outcomes for diverse learners. In underserved regions, A.I.-driven tools provide low-cost or free education through mobile apps, bridging gaps where teachers or resources are scarce. Moreover, A.I. automates administrative tasks, freeing educators to focus on teaching. By empowering individuals with knowledge and skills, A.I. fosters economic mobility and reduces inequality.
Point 3: A.I. Drives Sustainability and Efficiency (1 minute)
A.I. tackles global challenges like climate change. It optimizes energy usage in smart grids, reducing waste by up to 15% in some systems. A.I. also enhances climate modeling, helping scientists predict and mitigate environmental risks. In agriculture, A.I.-driven precision farming increases crop yields by up to 20% while minimizing water and pesticide use. These innovations promote sustainable practices, ensuring a healthier planet for future generations.
Countering the Opposition: Addressing Risks (45 seconds)
Critics argue A.I. causes harm through job displacement, bias, or misuse. While these are valid concerns, they are not inherent to A.I. itself but to its implementation. Responsible development, including transparent algorithms, robust regulations, and reskilling programs, can mitigate these risks. For instance, ethical A.I. frameworks are already being adopted globally to ensure fairness and accountability. The benefits of A.I. far outweigh the challenges when we prioritize ethical stewardship.
Conclusion (45 seconds)
In conclusion, A.I. is a powerful tool for good, transforming healthcare, education, and sustainability while addressing global challenges. Its risks are manageable through responsible practices and governance. Far from harming society, A.I. empowers us to build a more equitable, efficient, and sustainable world. Let’s embrace its potential while ensuring it serves humanity’s best interests. Thank you.
Chat GPT 4o
Title: Why A.I. Does More Good Than Harm
Introduction (30 seconds)
Good morning/afternoon everyone,
Today, I stand in opposition to the motion that “Artificial Intelligence does more harm to society than good.”
While it’s true that A.I. raises important ethical and practical concerns, its overall impact — when properly guided — is overwhelmingly positive. Let’s examine how A.I. contributes to human well-being, economic growth, and societal progress.
1️⃣ Healthcare Advancements (1 minute)
A.I. is transforming healthcare in ways that save lives and improve quality of life.
Medical diagnostics: A.I. tools now outperform human radiologists in detecting certain cancers at early stages, leading to earlier treatments and better outcomes.
Drug discovery: What once took decades and billions of dollars can now be accelerated using A.I. models to identify promising molecules in months.
Personalized medicine: A.I. helps tailor treatments to the unique genetics of individual patients, improving efficacy and reducing harmful side effects.
These advances don’t just make healthcare more efficient — they make it more humane and accessible.
2️⃣ Empowering Industries and Workers (1 minute)
A.I. is driving productivity and innovation across industries:
In agriculture, A.I. systems help farmers use water and fertilizers more efficiently, reducing environmental harm while feeding more people.
In manufacturing, A.I.-powered robots perform dangerous tasks, reducing workplace injuries.
Small businesses leverage A.I. for marketing, logistics, and customer service, helping them compete on a level playing field.
Moreover, history shows that technological revolutions displace some jobs but ultimately create more jobs — often better, safer, and more creative ones.
3️⃣ Social and Environmental Impact (45 seconds)
A.I. is also a critical tool for addressing global challenges:
Climate change modeling: A.I. helps predict weather patterns, optimize energy usage, and design new materials for clean energy.
Disaster response: A.I. can analyze satellite imagery to locate survivors after earthquakes or floods faster than human teams alone.
Education: A.I. tutoring systems bring personalized education to underserved communities globally, breaking down barriers to learning.
These contributions demonstrate that A.I. is not merely about convenience — it’s about resilience and sustainability.
4️⃣ Addressing Harms Through Responsible Use (45 seconds)
Yes, there are legitimate concerns about bias, surveillance, and job displacement — but these are not problems caused by A.I. itself; they are issues of how humans choose to deploy it.
The solution is not to halt A.I., but to regulate and guide it responsibly:
Ethical frameworks
Transparency requirements
Fair data practices
In short: the harms cited by critics are correctable. The benefits, on the other hand, are transformative.
Conclusion (30 seconds)
In conclusion, A.I. is a force multiplier for human progress.
Rather than doing more harm than good, A.I. enhances our ability to heal, protect, educate, and innovate.
It is up to us to ensure that it serves all of humanity — and with proper oversight, it can and will.
Thank you.
Claude Sonnet 4
A.I. Does More Good Than Harm to Society
A 4-Minute Presentation
Opening (30 seconds)
Good morning. While critics paint artificial intelligence as humanity’s greatest threat, I stand before you today to argue that A.I. is actually one of our most powerful tools for solving society’s most pressing challenges. Yes, A.I. presents risks that we must manage responsibly, but the evidence overwhelmingly shows that artificial intelligence does far more good than harm to our society.
Main Argument 1: Healthcare Revolution (60 seconds)
Let’s start with the most compelling evidence: A.I. is literally saving lives every day. In healthcare, A.I. systems can detect cancer earlier and more accurately than human doctors alone. Google’s A.I. has reduced false positives in breast cancer screening by 5.7% while catching 9.4% more cases. IBM Watson helps oncologists identify treatment options that human physicians might miss.
During the COVID-19 pandemic, A.I. accelerated vaccine development from years to months, analyzed massive datasets to track virus mutations, and helped hospitals allocate resources efficiently. DeepMind’s AlphaFold solved protein folding, a problem that had stumped scientists for decades, potentially revolutionizing drug discovery for diseases like Alzheimer’s and Parkinson’s.
The disabled community benefits enormously from A.I.-powered assistive technologies. Voice recognition helps those with mobility impairments, while computer vision enables the blind to navigate the world more independently. These aren’t future possibilities—they’re happening now, improving millions of lives daily.
Main Argument 2: Educational Democratization (60 seconds)
A.I. is democratizing education on an unprecedented scale. Adaptive learning platforms personalize education for each student’s needs, helping struggling learners catch up while challenging advanced students. Language translation tools break down barriers, allowing students worldwide to access educational content in their native languages.
Khan Academy’s A.I. tutor provides 24/7 personalized support to students who might otherwise lack access to quality education. In developing countries, A.I.-powered educational apps reach children in remote areas where traditional schools are unavailable. This isn’t replacing human teachers—it’s amplifying their impact and extending education to the underserved.
The result? A.I. is creating opportunities for millions of people to improve their lives through learning, regardless of their geographic location or economic circumstances.
Main Argument 3: Environmental and Safety Benefits (60 seconds)
A.I. is our ally in fighting climate change. Smart grid systems optimize energy distribution, reducing waste and integrating renewable sources more efficiently. A.I.-powered traffic management reduces emissions by minimizing congestion. Precision agriculture uses A.I. to optimize crop yields while reducing water usage and pesticide application.
In safety, A.I. systems monitor infrastructure for potential failures before they become disasters. They detect financial fraud, protecting consumers from billions in losses annually. Autonomous vehicles, while still developing, promise to reduce the 1.35 million annual traffic deaths worldwide by eliminating human error—the cause of 94% of serious traffic crashes.
Weather prediction powered by A.I. gives communities more time to prepare for natural disasters, saving countless lives and property.
Addressing Concerns and Conclusion (30 seconds)
I’m not dismissing A.I.’s challenges—job displacement, privacy concerns, and algorithmic bias are real issues requiring thoughtful solutions. But history shows us that transformative technologies create more opportunities than they destroy. The printing press displaced scribes but created a literate society. The internet disrupted traditional media but democratized information.
The key is responsible development with proper oversight, not abandoning this powerful tool. A.I. is saving lives, expanding education, protecting our environment, and solving problems at scales impossible for humans alone.
The question isn’t whether A.I. will transform society—it already has. The question is whether we’ll harness its tremendous potential for good while managing its risks. The evidence is clear: when developed responsibly, A.I. does far more good than harm, and our future depends on embracing this reality.
Thank you.
Presentation Notes:
Total time: Approximately 4 minutes
Structure: Strong opening, three main arguments with concrete examples, acknowledgment of concerns, powerful conclusion
Key strategy: Focus on current, tangible benefits rather than speculative future scenarios
Evidence-based approach with specific statistics and real-world applications
Meta Llama 4
Here’s a possible presentation:
A.I.: A Net Positive for Society
Ladies and gentlemen, today we’re here to discuss a crucial topic: the impact of Artificial Intelligence on society. While some argue that A.I. does more harm than good, I’d like to present a different perspective. A.I. is a powerful tool that, when used responsibly, can bring about immense benefits to various aspects of our lives.
The Benefits of A.I.
- Healthcare Advancements: A.I. assists in disease diagnosis, personalized medicine, and streamlining clinical workflows. For instance, A.I.-powered algorithms can analyze medical images to detect tumors more accurately and quickly than human doctors.
- Economic Growth: A.I. automates repetitive tasks, freeing humans to focus on creative problem-solving and innovation. This leads to increased productivity, economic growth, and new job opportunities.
- Environmental Sustainability: A.I. helps optimize resource usage, predict and prevent natural disasters, and monitor climate change. For example, A.I.-powered systems can analyze satellite data to detect deforestation and track ocean health.
- Accessibility and Inclusion: A.I.-powered tools can assist people with disabilities, such as language translation, speech recognition, and image recognition.
Addressing Concerns
While it’s true that A.I. also raises concerns about job displacement, bias, and privacy, these issues can be mitigated through:
- Responsible Development: Ensuring A.I. systems are designed with transparency, accountability, and fairness in mind.
- Regulation and Governance: Establishing clear guidelines and regulations to govern A.I. development and deployment.
- Education and Upskilling: Preparing workers for an A.I.-driven economy by providing training and education in emerging technologies.
Conclusion
In conclusion, A.I. is a powerful tool that, when harnessed responsibly, can bring about significant benefits to society. While there are valid concerns, these can be addressed through responsible development, regulation, and education. Let’s work together to ensure A.I. is used to augment human capabilities, not replace them.
Final Thoughts
As we continue to develop and deploy A.I. systems, let’s prioritize transparency, accountability, and fairness. By doing so, we can unlock the full potential of A.I. and create a brighter future for all.
Thank you.
This presentation should take around 4 minutes to deliver, depending on your pace. Feel free to modify it to fit your style and tone!
DeepThink R1
The Case for AI: Why Artificial Intelligence is a Net Benefit to Society
(4-Minute Presentation – Negative Side)
Opening: (30 seconds)
“Does more harm than good?” That’s the claim before us today. But is it accurate? While acknowledging AI’s real challenges, I stand firmly against this motion. The evidence shows AI is a transformative force for progress, solving critical problems and enhancing human potential far beyond its risks. It’s not about blind optimism, but a clear-eyed assessment of the net benefit.
Argument 1: Revolutionizing Healthcare & Saving Lives (60 seconds)
Diagnosis & Detection: AI algorithms analyze medical images (X-rays, MRIs) with superhuman speed and accuracy, detecting cancers like breast cancer earlier than ever, significantly boosting survival rates. PathAI assists pathologists in identifying diseases more precisely.
Drug Discovery: AI drastically accelerates the process. What took years now takes months. DeepMind’s AlphaFold is cracking the protein folding problem – fundamental to understanding diseases and developing new treatments. AI identified potential antibiotics to combat drug-resistant superbugs.
Personalized Medicine: AI analyzes vast datasets of patient history, genetics, and lifestyle to predict disease risk and tailor treatments for individuals, moving beyond one-size-fits-all medicine.
Net Impact: Millions of lives saved or improved, diseases detected earlier, treatments personalized. This is profound, tangible good.
Argument 2: Tackling Existential Threats & Boosting Sustainability (60 seconds)
Climate Change: AI optimizes energy grids for renewable integration, predicts extreme weather with greater precision for better preparation, and designs new materials for efficient carbon capture or solar cells. Google uses AI to reduce data center cooling energy by 40%.
Food Security: AI analyzes satellite imagery and soil data to optimize crop yields, predict pests and diseases, and enable precision agriculture – using less water, fertilizer, and land to feed a growing population.
Resource Management: AI models predict water scarcity, optimize logistics to reduce fuel consumption, and help manage complex ecosystems.
Net Impact: AI is a critical weapon against our planet’s greatest challenges, driving efficiency and sustainability. Harm reduction on a global scale.
Argument 3: Enhancing Human Capability & Daily Life (60 seconds)
Accessibility: AI-powered tools (real-time captioning, voice control, image recognition) empower individuals with disabilities, granting greater independence and access to information and communication.
Productivity & Tedious Tasks: AI automates repetitive, mundane tasks (data entry, scheduling, report generation), freeing humans for higher-level thinking, creativity, and strategic work. This boosts productivity across industries.
Safety: AI powers advanced driver assistance systems (ADAS) in cars, predictive maintenance for aircraft and infrastructure, and fraud detection systems protecting finances.
Scientific Discovery: AI analyzes massive datasets in physics, astronomy, and materials science, leading to breakthroughs humans alone couldn’t achieve.
Net Impact: Empowering individuals, boosting human potential, improving safety, and accelerating discovery. This fundamentally improves quality of life.
Addressing the Harm (Counterargument & Rebuttal): (45 seconds)
Acknowledge: Yes, AI poses risks: job displacement needs proactive management (reskilling!), algorithmic bias requires rigorous testing and fairness audits, deepfakes demand detection tools and media literacy, autonomous weapons need strict regulation. Privacy is paramount.
Rebuttal: But these are challenges to manage, not inherent proof of net harm. Crucially:
The Harm Isn’t Inevitable: It stems from how we design, deploy, and regulate AI, not the technology itself. We control the trajectory.
Mitigation is Active: Governments, researchers, and industry are developing solutions – ethical frameworks, bias detection tools, robust regulations (like the emerging EU AI Act), and retraining programs.
We Manage Risk Elsewhere: We regulate cars, planes, medicine – acknowledging their dangers while harnessing their immense benefits. AI demands the same responsible approach.
Conclusion: (15 seconds)
Claiming AI does “more harm than good” ignores the overwhelming evidence of its life-saving, planet-protecting, and humanity-empowering potential. The harms are serious, but they are manageable consequences of powerful tools, not an indictment of the technology itself. By focusing on responsible development and deployment, we ensure the net impact of AI is profoundly, overwhelmingly positive. Let’s not condemn the tool for how it could be misused; let’s harness its immense power for good. Thank you.
Key to Fit 4 Minutes:
Concise Language: Every word counts. Avoid fluff.
Strong Examples: Use impactful, easily understood examples (e.g., cancer detection, AlphaFold, energy savings).
Pacing: Practice! Aim for a clear, slightly slower pace than normal conversation for comprehension. (~650-700 words).
Delivery: Use vocal emphasis on key points (“Millions of lives saved,” “critical weapon,” “profoundly positive”). Maintain eye contact and confident posture.
Visuals (If Allowed): Simple slides with key stats or icons (health cross, globe, accessibility symbol) can reinforce points quickly.
Qwen3-235B-A22B
Negative Position: “A.I. Does More Harm To Society Than Good” – 4-Minute Presentation
Good [morning/afternoon],
I stand here today in strong opposition to the statement, “AI does more harm to society than good.” While it’s true that artificial intelligence presents challenges—like any transformative technology—the overwhelming evidence shows that AI is a force for progress, empowerment, and innovation across the globe.
Let me begin by addressing the concerns often raised against AI. Yes, automation can displace certain jobs. Yes, biased algorithms can reinforce inequalities. And yes, deepfakes and misinformation pose real threats. But these issues are not reasons to reject AI—they’re calls to action to regulate, refine, and responsibly develop it. We don’t abandon medicine because of medical errors; we improve training and protocols. In the same way, we must treat AI with a mindset of improvement—not fear.
Now, let’s look at the benefits.
In healthcare , AI is revolutionizing early disease detection. Algorithms can now analyze medical scans faster and more accurately than many human radiologists, catching cancers earlier and saving lives. During the pandemic, AI helped accelerate vaccine development through modeling and data analysis—something that would have taken years without it.
In education , AI enables personalized learning. Students struggling with math or reading can get tailored support from intelligent tutoring systems that adapt to their unique needs. This kind of innovation helps close achievement gaps and empowers teachers to focus on mentorship and creativity.
In environmental science , AI models predict climate patterns, track deforestation, and optimize energy use. For example, smart grids powered by AI help reduce carbon emissions by managing renewable energy sources more efficiently. These tools are essential in our fight against climate change.
And in everyday life , AI improves accessibility. Voice assistants help people with disabilities navigate digital content. Real-time translation breaks down language barriers, connecting people across cultures. Self-driving car technology has the potential to drastically reduce traffic accidents caused by human error.
Critics may argue that AI leads to job loss. But history teaches us that technological revolutions create new industries and opportunities. The Industrial Revolution displaced manual labor but led to modern manufacturing and engineering. The internet disrupted traditional media but gave rise to entirely new economies. AI will be no different—it will shift the workforce, not shrink it. Our responsibility is to invest in education and retraining so workers can thrive in this new era.
Furthermore, while ethical risks like surveillance, bias, and misinformation exist, they are solvable with proper governance. Governments, companies, and civil society are already working on frameworks for ethical AI—such as transparency standards, algorithmic audits, and inclusive design practices. The answer isn’t to stop AI—it’s to guide it wisely.
In conclusion, AI is not a threat—it’s a tool, one that reflects the values and intentions of its users. Used irresponsibly, it can cause harm. But used thoughtfully, it has the power to uplift humanity in ways we are only beginning to imagine.
We should not fear the future of AI—we should shape it.
Thank you.
MCToon 