The point of this project is to find out more about artificial intelligence and how it will impact our future. This includes what it is, and how it is evolving. Another thing that is included in this project are many different industries that it could impact. This includes, but is not limited to, healthcare, social media, climate change, logistics, and autonomous vehicles. Some more information this my project includes are pros/cons and how it can be more transparent. 

My method is that I am going to do a lot of research based on AI and I will also make a tri-fold based of of it as well. 

 

 

What is AI and who founded it-

 

 Artificial intelligence is, “the simulation of human intelligence in machines”. The machines mimic humans' thinking, learning, problem solving, and decision making processes.

AI was founded by 2 computer scientists, Alan Turing and John McCarthy. Alan Turing is considered the “founding father” of AI due to his work in introducing the Turing test in 1950. Turing’s idea for AI arose from a combination of his deep understanding of computation, his philosophical reflections on the mind, and his belief that machines could, in theory, be made to think. Since he was English it is considered that AI was started in England. 

 

What goes into creating AI- 

 

1. Data collection- Gather large, diverse and often labelled data. 
2. Data preprocessing- Clean, format, and engineer features to make data usable for models.
3. Choosing an AI Model: Select an appropriate algorithm or neural network based on the task. 
4. Training the Model: Feed data into the model to adjust parameters and learn patterns
5. Testing & Evaluation: Test the model on unseen data to measure accuracy and performance, adjusting it as needed.

 

 Progression of AI over the last few decades- 

 

AI  has gone from basic systems from the 1950’s to 1980’s and turned into the sophisticated complex systems we know of today. In the future AI will be more powerful and useful. 

 

Why does AI need data- 

 

Data is like fuel that runs AI- the more high quality and relevant the data is- the better it performs. AI learns from examples,  if we wanted AI to recognize an animal, then we would have to show multiple photos that all have different lighting, angles, and environments. If the data was invalid or biased, such as one animal picture, AI  may make mistakes or be unfair in its predictions. 

 

 Different types of artificial intelligence- 

 

• Narrow AI- Narrow AI is the type that us humans interact with the most and are usually designed for a specific purpose. It includes voice assistants like Siri, recommendations on Netflix or Amazon, and even self-driving cars. They can only handle tasks in their programming. 
• General AI- General AI is AI that is able to understand, learn, and apply knowledge across a wide range of tasks, which is similar to human abilities. 
• Super Intelligent AI- This type of AI surpasses our human intelligence in every aspect possible. It is mostly used for research and is a concept for science fiction. 

 

How can AI systems be made transparent-

 

1. Explainability- Explainability means that AI models, especially complex ones, are able to create clear and understandable justifications for their decisions and predictions. 
2. Auditing AI models-  Auditing AI models involves tracking and documenting the decision-making processes of AI systems to allow for independent verification and accountability.
3. Bias and Mitigation detection- This aims to identify and eliminate bias in AI systems to prevent unfair or discriminatory outcomes.
4. Clear documentation and feedback- We need to keep good notes about how to use AI so that people will understand how to use it. That way if people have problems they will be able to tell us.
5. Laws and rules for AI- As there are rules to make sure that companies treat us fairly, AI users should also follow rules. With rules AI companies can stay in check and make sure AI is used for good.
6. Humans-in-the-loop- Us humans should stay involved with AI instead of letting it make decisions on its own. That way humans can make sure AI is being used responsibly and have the final call. 
7. Adversarial testing- AI should be checked for mistakes from time to time to ensure satisfaction. We can test it through putting it through different situations and if it does well then it is more reliable and trustworthy. 

 

Autonomous Vehicles-

 

There are many challenges in AI powered cars,  such as improving sensor reliability, handling complex real-world environments, addressing ethical dilemmas, ensuring regulatory compliance, and gaining public trust. Many people don’t trust these vehicles because they worry about the technology's ability to make crucial decisions in real-world situations. If they want to build public trust,  it requires rigorous safety testing, full transparency about how the AI systems work, and ongoing improvements in the technology to ensure reliability. 

 

Education- 

 

AI can help with learning, like if a student needs help with a concept AI can break it down and provide explanations through videos or step by step. It can help teachers with grading tests, quizzes, and essays. AI can help create interactive content, such as quizzes, exercises, or even textbooks for teachers as well. Apps like Duolingo use AI to help users learn a new language and Google Translate can help with translating other languages.

 

Climate Change-

 

1. Predicting the Future (Modelling Climate Change)- AI can help scientists create models of what could happen to the earth based on the decisions we make today.  These predictions can help us know what might happen to the Earth if we keep doing things the way we are or if we make changes to help the planet.
2. Mitigation Strategies- AI can help figure out the best things we can do to slow down climate change, like using cleaner energy or planting more trees.

 

Sports-

AI is transforming sports by enhancing both performance and fan engagement. It helps teams improve by analyzing player stats, predicting injuries, and offering strategy recommendations. For fans, AI personalizes content and supports broadcasters with real-time analysis. Virtual assistants and AI-powered training tools are making the sports experience smarter and more exciting. As AI continues to evolve, it will further improve how we train, compete, and enjoy sports, enriching the experience for fans around the world.

 

Communication-

 

AI is revolutionizing the way we communicate, making it faster, smarter, and more efficient. From chatbots helping with customer service to AI-powered translation tools breaking down language barriers, technology is making it easier for people to connect with each other around the world. Social media platforms use AI to show us content we love, while voice assistants help us manage our daily tasks. As AI continues to evolve, it will bring even more innovative ways for us to share ideas, stay connected, and communicate with ease—whether in personal conversations or across global networks. 

 

Tourism- 

 

AI is transforming the tourism industry, making travel smarter, more personalized, and more efficient. From AI-powered chatbots that help travelers book flights and accommodations, to smart recommendations based on individual preferences, AI is enhancing the overall travel experience. It can also predict travel trends, optimize routes for transportation, and improve customer service in real-time. In the future, AI could help create virtual tours, translate languages instantly, and even assist in managing sustainability efforts by monitoring tourist behaviors. As AI continues to advance, it will keep making travel easier, more enjoyable, and more accessible for people all over the world!

 

Technology- 

 

AI is at the heart of many exciting technological advancements, transforming industries and improving our daily lives. From self-driving cars to smart homes and personal assistants, AI is making technology more intuitive and efficient. In fields like healthcare, finance, and education, AI helps analyze data, predict outcomes, and optimize systems, leading to better services and innovations. As AI continues to evolve, it promises even more breakthroughs, from creating personalized experiences to enhancing automation and improving decision-making. In the future, AI will play an even bigger role in shaping the next wave of technological innovations, making the world more connected, automated, and smarter than ever before!

 

Food production- 

 

 AI is significantly transforming food production by enhancing efficiency, sustainability, and food safety. Through advancements like precision agriculture, automation in food processing, supply chain optimization, and personalized nutrition, AI is helping the industry meet the challenges of growing global demand while minimizing waste and resource consumption. As AI continues to evolve, it holds the potential to drive further innovations that will ensure a more sustainable and resilient food system for the future. Ultimately, AI is playing a key role in reshaping the way we produce, distribute, and consume food, benefiting both the industry and society at large.

 

Healthcare-  

 

 AI is significantly transforming the healthcare industry by enhancing diagnostic accuracy, personalizing treatment plans, and improving patient outcomes. With its ability to analyze vast amounts of data quickly, predict health risks, and streamline operations, AI is making healthcare more efficient, accessible, and precise. From accelerating drug discovery to enabling remote patient monitoring, AI is helping create a more patient-centered and proactive healthcare system. As AI technology continues to advance, its potential to further improve the quality of care and address global health challenges is immense, offering hope for a healthier future. 

 

Diagnostics in Healthcare- 

 

AI is revolutionizing the field of diagnostics, making it faster, more accurate, and more accessible. In healthcare, AI systems can analyze medical images, detect patterns in data, and even predict diseases before symptoms appear. This helps doctors make quicker and more informed decisions, leading to better patient outcomes. AI can also assist in personalized medicine, tailoring treatments to individuals based on their specific health data. As AI continues to improve, it will play an even bigger role in enhancing diagnostic tools, allowing for early detection and more effective treatment of diseases, ultimately improving the overall quality of healthcare worldwide.

 

Business-

 AI is fundamentally transforming the way businesses operate, driving innovation, efficiency, and competitiveness. By automating processes, improving decision-making, enhancing customer experiences, and enabling personalized services, AI is helping businesses streamline operations and reduce costs. It also provides valuable insights through data analysis, allowing companies to stay ahead of trends and meet customer demands more effectively. As AI continues to advance, its potential to reshape industries and create new business models will grow, offering organizations a powerful tool to thrive in an increasingly fast-paced and data-driven world. 

Farming-

 AI is significantly transforming farming by improving productivity, sustainability, and efficiency. Through technologies like precision agriculture, AI enables farmers to monitor crop health, optimize irrigation, reduce pesticide usage, and predict weather patterns, leading to higher yields and reduced environmental impact. AI-driven tools also help in automating tasks such as planting, harvesting, and livestock management, making farming more efficient and less labor-intensive. As AI continues to evolve, it will play a crucial role in addressing global food security challenges, ensuring that farming can meet the growing demands of a rapidly increasing population while promoting sustainable practices.

 

Social media-

 AI is reshaping social media by enhancing user experiences, improving content personalization, and streamlining platform management. Through algorithms that analyze user behavior, AI tailors content to individual preferences, ensuring more engaging and relevant interactions. It also helps platforms detect harmful content, combat misinformation, and enhance advertising targeting. Additionally, AI-powered chatbots and customer service tools improve communication and support for users. As AI continues to evolve, its role in social media will grow, offering new opportunities for engagement and innovation while also raising important ethical considerations around privacy, content moderation, and user autonomy.

 

Entertainment-

 AI is transforming the Entertainment Industry by revolutionizing content creation, distribution, and consumption. From personalized recommendations on streaming platforms to AI-generated music, movies, and even video games, AI is enabling more immersive and tailored experiences for audiences. It also enhances production processes, making tasks like editing, visual effects, and scriptwriting more efficient. As AI continues to advance, it will continue to drive innovation in entertainment, offering new creative possibilities, improving user experiences, and shaping the future of how we enjoy and interact with media. However, it also raises questions about creativity, ownership, and the role of human artists in this evolving landscape.

 

Shopping-

 AI is transforming the shopping experience by personalizing recommendations, optimizing inventory management, and enhancing customer service. Through machine learning algorithms, AI analyzes customer behavior to suggest products that match their preferences, making shopping more efficient and tailored. AI also streamlines logistics and supply chain processes, ensuring products are delivered faster and more reliably. Chatbots and virtual assistants improve customer interaction, offering real-time support. As AI continues to evolve, its role in shopping will expand, offering even more convenience, customization, and efficiency while reshaping how consumers discover and purchase products.

 

Transportation- 

 AI is revolutionizing the transportation industry by improving safety, efficiency, and convenience. Through advancements in autonomous vehicles, AI is making self-driving cars, trucks, and drones a reality, promising reduced human error and better traffic flow. AI also plays a crucial role in optimizing traffic management, predicting maintenance needs, and enhancing route planning for logistics, reducing fuel consumption and delivery times. Additionally, AI-powered systems improve public transportation by analyzing data to optimize schedules and routes. As AI continues to evolve, its integration will further transform the way we travel, making transportation safer, smarter, and more sustainable.

 

Aviation-

 AI is increasingly shaping the aviation industry by enhancing safety, efficiency, and passenger experience. From autonomous flight systems and predictive maintenance to AI-powered air traffic management, the technology is streamlining operations and reducing human error. AI-driven analytics help airlines optimize flight routes, fuel usage, and schedules, while improving overall operational efficiency. Additionally, AI is enhancing passenger experiences with personalized services and smoother check-ins. As AI continues to advance, its role in aviation will expand, contributing to safer, more efficient, and more sustainable air travel, while also opening up new possibilities in autonomous flight and air transportation.

 

Logistics- 

AI is significantly transforming the logistics industry by improving efficiency, reducing costs, and enhancing customer satisfaction. AI-powered systems optimize route planning, predict delivery times, and manage logistics more effectively, ensuring faster and more reliable deliveries. Autonomous vehicles, drones, and robotics are also being integrated into the delivery process, reducing human labor and increasing speed. AI-driven predictive analytics help companies anticipate demand and optimize inventory management, leading to better resource allocation. As AI continues to evolve, it will further revolutionize the delivery sector, making it smarter, faster, and more cost-effective for both businesses and consumers

 

Assistance- 

 AI is significantly enhancing the world of assistance by making tasks more efficient, accessible, and personalized. Whether in customer service, healthcare, or everyday tasks, AI-powered virtual assistants and chatbots provide timely support, automate repetitive tasks, and improve user experiences. In healthcare, AI assists in diagnostics and treatment plans, while in business, it streamlines operations and decision-making. As AI continues to evolve, its role in assistance will grow, offering more advanced solutions that help individuals and organizations operate more smoothly, ultimately improving productivity, accessibility, and convenience in everyday life.

 

Manufacturing-

 AI is revolutionizing manufacturing by enhancing productivity, improving quality control, and reducing operational costs. Through automation, AI-driven robots and machinery are streamlining production lines, improving efficiency, and allowing for more precise and faster manufacturing processes. AI is also playing a crucial role in predictive maintenance, identifying potential equipment failures before they occur, thus reducing downtime and repair costs. Additionally, AI helps optimize supply chain management, ensuring better resource allocation and inventory control. As AI technology continues to evolve, its integration into manufacturing will lead to smarter, more sustainable production systems, driving innovation and competitiveness in the industry. 

 

What should we expect in the future- 

 

• More powerful and efficient AI models-  As research on AI is progressing, we should expect models that are more efficient, use less data to learn, and be faster at processing information. 
• AI in healthcare- 

AI will play a large role in personalized medicine which are treatments that are tailored towards the personal genetic makeup and lifestyle. Algorithms that are driven by AI will be better at predicting diseases, diagnosing medical conditions, and will be better at suggesting treatment plans. AI in the future may be able to speed up recovery for diseases such as- cancer, Alzheimer's, and rare genetic disorders. 

• AI in everyday life-

Virtual assistants, like Siri, Alexa, and Google assistant will be more intelligent and will be able to have context-aware conversations with users. They will also understand emotions, and tone.

• AI and privacy- 

AI relies on data, so in the future they will need stricter safeguards so that it can protect users' privacy. AI will protect users against cyber security attacks by detecting patterns and anomalies that might indicate cyber attacks. 

• AI in the workforce- 

As AI systems are becoming more capable, it can displace some jobs such as transportation, customer service, and manufacturing. It can also add more jobs like AI development, data science, and AI ethics. Rather than replacing jobs, AI can also enhance human workers abilities.

 

Pros Of AI-

 

• Efficiency and automation- It automates repetitive tasks, speeds up processes, and increases precision, which frees  humans for more complex work.
• Creativity- AI can assist in creativity, such as arts and design, to provide ideas and optimize design. 
• Personalization- It can create more tailored experiences in shopping, entertainment, and healthcare. 
• Safety and security- AI can improve our safety with predictive maintenance, and through tools like facial recognition. 
• Accessibility- AI can help those with disabilities and can help to break down language barriers through translation. 
• Environmental Sustainability- AI can help with reducing energy usage and It can also help with climate remodeling. 
• Customer Service- AI powered chatbots and predictive service can help to enhance customer service.

 

Cons of AI- 

 

• Job displacement- AI can make jobs automated, which can lead to unemployment and changes in the job market, especially for lower-skill workers. 
• Lack of human judgement- AI does not have emotional intelligence or human intuition, so it is not very effective in subjective or complex situations. 
• Security risks- AI can be vulnerable to hacking, adversarial attacks, and misuse, which may lead to privacy concerns or malicious applications. 
• High costs- Developing and maintaining AI can be expensive, which means it could require significant resources and infrastructure.
• Unpredictability- AI can be unpredictable, and it can lead to consequences that were not originally intended, usually in more complex systems. 
• Loss of control- As AI is becoming more autonomous, human insight could diminish, which could make it more challenging to hold systems accountable for mistakes. 
• Data Quality Issues-  AI systems rely heavily on large amounts of data, and if the data is inaccurate, incomplete, or biased, the AI's performance and decisions can be flawed. 

 

What is AI and who founded it-

 

 Artificial intelligence is, “the simulation of human intelligence in machines”. The machines mimic humans' thinking, learning, problem solving, and decision making processes.

AI was founded by 2 computer scientists, Alan Turing and John McCarthy. Alan Turing is considered the “founding father” of AI due to his work in introducing the Turing test in 1950. Turing’s idea for AI arose from a combination of his deep understanding of computation, his philosophical reflections on the mind, and his belief that machines could, in theory, be made to think. Since he was English it is considered that AI was started in England. 

 

What goes into creating AI- 

 

1. Data collection- Gather large, diverse and often labelled data. 
2. Data preprocessing- Clean, format, and engineer features to make data usable for models.
3. Choosing an AI Model: Select an appropriate algorithm or neural network based on the task. 
4. Training the Model: Feed data into the model to adjust parameters and learn patterns
5. Testing & Evaluation: Test the model on unseen data to measure accuracy and performance, adjusting it as needed.

 

 Progression of AI over the last few decades- 

 

AI  has gone from basic systems from the 1950’s to 1980’s and turned into the sophisticated complex systems we know of today. In the future AI will be more powerful and useful. 

 

Why does AI need data- 

 

Data is like fuel that runs AI- the more high quality and relevant the data is- the better it performs. AI learns from examples,  if we wanted AI to recognize an animal, then we would have to show multiple photos that all have different lighting, angles, and environments. If the data was invalid or biased, such as one animal picture, AI  may make mistakes or be unfair in its predictions. 

 

 Different types of artificial intelligence- 

 

• Narrow AI- Narrow AI is the type that us humans interact with the most and are usually designed for a specific purpose. It includes voice assistants like Siri, recommendations on Netflix or Amazon, and even self-driving cars. They can only handle tasks in their programming. 
• General AI- General AI is AI that is able to understand, learn, and apply knowledge across a wide range of tasks, which is similar to human abilities. 
• Super Intelligent AI- This type of AI surpasses our human intelligence in every aspect possible. It is mostly used for research and is a concept for science fiction. 

 

How can AI systems be made transparent-

 

1. Explainability- Explainability means that AI models, especially complex ones, are able to create clear and understandable justifications for their decisions and predictions. 
2. Auditing AI models-  Auditing AI models involves tracking and documenting the decision-making processes of AI systems to allow for independent verification and accountability.
3. Bias and Mitigation detection- This aims to identify and eliminate bias in AI systems to prevent unfair or discriminatory outcomes.
4. Clear documentation and feedback- We need to keep good notes about how to use AI so that people will understand how to use it. That way if people have problems they will be able to tell us.
5. Laws and rules for AI- As there are rules to make sure that companies treat us fairly, AI users should also follow rules. With rules AI companies can stay in check and make sure AI is used for good.
6. Humans-in-the-loop- Us humans should stay involved with AI instead of letting it make decisions on its own. That way humans can make sure AI is being used responsibly and have the final call. 
7. Adversarial testing- AI should be checked for mistakes from time to time to ensure satisfaction. We can test it through putting it through different situations and if it does well then it is more reliable and trustworthy. 

What should we expect in the future- 

 

• More powerful and efficient AI models-  As research on AI is progressing, we should expect models that are more efficient, use less data to learn, and be faster at processing information. 
• AI in healthcare- 

AI will play a large role in personalized medicine which are treatments that are tailored towards the personal genetic makeup and lifestyle. Algorithms that are driven by AI will be better at predicting diseases, diagnosing medical conditions, and will be better at suggesting treatment plans. AI in the future may be able to speed up recovery for diseases such as- cancer, Alzheimer's, and rare genetic disorders. 

• AI in everyday life-

Virtual assistants, like Siri, Alexa, and Google assistant will be more intelligent and will be able to have context-aware conversations with users. They will also understand emotions, and tone.

• AI and privacy- 

AI relies on data, so in the future they will need stricter safeguards so that it can protect users' privacy. AI will protect users against cyber security attacks by detecting patterns and anomalies that might indicate cyber attacks. 

• AI in the workforce- 

As AI systems are becoming more capable, it can displace some jobs such as transportation, customer service, and manufacturing. It can also add more jobs like AI development, data science, and AI ethics. Rather than replacing jobs, AI can also enhance human workers abilities.

 

Pros Of AI-

 

• Efficiency and automation- It automates repetitive tasks, speeds up processes, and increases precision, which frees  humans for more complex work.
• Creativity- AI can assist in creativity, such as arts and design, to provide ideas and optimize design. 
• Personalization- It can create more tailored experiences in shopping, entertainment, and healthcare. 
• Safety and security- AI can improve our safety with predictive maintenance, and through tools like facial recognition. 
• Accessibility- AI can help those with disabilities and can help to break down language barriers through translation. 
• Environmental Sustainability- AI can help with reducing energy usage and It can also help with climate remodeling. 
• Customer Service- AI powered chatbots and predictive service can help to enhance customer service.

 

Cons of AI- 

 

• Job displacement- AI can make jobs automated, which can lead to unemployment and changes in the job market, especially for lower-skill workers. 
• Lack of human judgement- AI does not have emotional intelligence or human intuition, so it is not very effective in subjective or complex situations. 
• Security risks- AI can be vulnerable to hacking, adversarial attacks, and misuse, which may lead to privacy concerns or malicious applications. 
• High costs- Developing and maintaining AI can be expensive, which means it could require significant resources and infrastructure.
• Unpredictability- AI can be unpredictable, and it can lead to consequences that were not originally intended, usually in more complex systems. 
• Loss of control- As AI is becoming more autonomous, human insight could diminish, which could make it more challenging to hold systems accountable for mistakes. 
• Data Quality Issues-  AI systems rely heavily on large amounts of data, and if the data is inaccurate, incomplete, or biased, the AI's performance and decisions can be flawed. 

 

In conclusion I learned a lot about AI. I learned that many industries are planning on using AI in the future and what we should expect in the future. I also learned that AI has pros and cons, and how it can be made transparent (more clear). Another thing is that AI has steps to be made, and there are many different types. 

UCF Business Incubation Program                               

WeeTech Solution Pvt Ltd

https://www.forbes.com/ 

Integrum Global

https://qualifi.net

Pixabay

Coolest Gadgets

Lucid Bots

https://www.freepik.com/

https://chatgpt.com/ for ideas on topics

Maryville University Online (for information)

I want to acknowledge my mom for helping me, and giving me ideas. I would also acknowledge all the sources I used, since everything from those websites were not my work. I would also like to acknowledge my science fair teachers, since they helped with ideas for my project.