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Artificial intelligence: presentation

Transcript: Grayball system Panel discussion within the group Geofencing. Supervised/semi supervised learning training set. By Aleksander Nygård Tonheim and Simen Madsen Searching social media. Create a proof-of-concept prototype to present the framework. ELMF – Easy LawMaking Framework Grayball-system Research in law-frameworks Defined a framework for lawmaking. Example How are we doing it? –> Scenario Uber employees Using device numbers from cheap mobile phones. Success criteria Proof-of-concept to present the framework to developers and government officials How Uber Deceives the Authorities Worldwide https://nyti.ms/2lnl5b8 Questions? Method How can we contribute? Build a general law framework to help developers and government officials create laws concerning legal use of AI Calling drivers to cancel the drive. Make a proof of concept prototype with at least two iterations. Credit card information from the app. Research on law frameworks and panel discussion

Artificial Intelligence - Presentation

Transcript: The conclusion At the end, we can say that Artificial Intelligence is very helpful and easy to use, but however, it still has alot of disadvantages; so we have to be very careful about it. The advantages of AI The disadvantages of AI : First, let's talk about the advantages of AI, it can automate tasks, make thing more efficient and helps us make better decisions, its like have a smart assistant that can do things for us and make our lives easier However, AI still has many disadvantages, AI can cause job displacement as automation takes over our work, it can also lead to the lack of human touch, which means AI can disconnect communication between humans, its also been proven by Elon Musk, he was earlier this year warned it could lead to civilisation destruction and that it was a threat to humanity. Examples of AI : Virtual assistants such a Siri, Alexa and google assitants have become very common in our homes and they can help us with many things such as setting reminders, answering questions or even controlling smart devices. Infact, 70 percent of american houses use these type of machines or devices What is Artificial Intelligence? Artificial Intelligence, or AI for short, is a field of computer science that focuses on creating smart machines or apps that can preform tasks that typically require human intelligence. Artificial Intelligence

Artificial Intelligence Presentation

Transcript: Human Values A.I Values V.S - Achieve objective function or goal - Maximize efficiency - - Ethical considerations - Cultural diversity - Individual preferences - Subjective experiences - Subjective emotions Place for a short description of a key concept Place for a short description of a key concept Place for a short description of a key concept Place for a short description of a key concept Content Artifical - ONE - Opposing Values + Morality Issue(s) Goal - TWO - Privacy Concerns Second subject Chart title - THREE - Write a brief explanation of the subject Different/Changing Human Values Intelligence - FOUR - GPT-4 Overview/Timeline - FIVE Pros and Cons of Chatbots 4 Us Alignment of A.I with Human Values Conclusion Sum up the key take-aways and wrap up your presentation Second metric Third metric First metric 01 02 03 Short description to summarize the subject Short description to summarize the subject Short description to summarize the subject

Artificial Intelligence Presentation

Transcript: Artificial Intelligence Introduction to artificial Intelligence Introduction Definition Definition Historical Background and Development of AI Historical Background and Development of AI Significance of AI in Modern Society Relavance in Modern Society Types of Artificial Intelligence and Four Types Types of Artificial Intelligence Narrow AI (weak AI) 1. Definition 2. Application in various industries (e.g., virtual assistants, recommendation systems) Narrow AI General AI (strong AI) 1. Definition and challenges in achieving general AI 2. Potential implications and benefits General AI Machine Learning and Natural Language Processing Machine Learning & Natural Processing Healthcare, Robotics, Autonomous Driving Healthcare, Robotics, Autonomous Driving Potential Applications of AI Where AI can be used for Ethical and Social Concerns Ethical and Social Concerns Drawbacks and Limitations of AI Cons of AI Conclusion Conclusion

Artificial Intelligence Presentation

Transcript: Applications of Artificial Intelligence AI in Finance AI in Healthcare In finance, AI enhances processes such as risk management, fraud detection, and automated trading systems. Algorithms evaluate transactions in real-time, significantly reducing human error and enabling better investment strategies through predictive analytics. AI applications in healthcare include predictive analytics for patient outcomes, automated diagnostic tools, and personalized treatment plans. Machine learning algorithms analyze vast datasets to identify trends, ultimately improving patient care and operational efficiency. AI in Retail AI in Transportation AI in retail focuses on enhancing customer experiences through personalized marketing, inventory management, and chatbots for customer service. Retailers gain insights from consumer data to tailor offerings and optimize supply chains. AI technologies are transforming transportation with autonomous vehicles, traffic management systems, and optimized routing algorithms. These innovations improve safety, reduce congestion, and enhance the efficiency of logistics operations. AI in Education Artificial Intelligence in education personalizes learning experiences through adaptive learning platforms and automated grading systems. By analyzing student data, AI supports tailored educational pathways, promoting engagement and effectiveness in learning. Artificial Intelligence Presentation Exploring the Future of Technology The Future of Artificial Intelligence AI and Human Collaboration Emerging Trends The collaboration between AI and humans enhances productivity and decision-making. Tools like collaborative robots (cobots) assist in manufacturing, while AI-driven insights guide professionals in fields such as finance and healthcare. Key trends in AI include advancements in machine learning, natural language processing, and computer vision. These technologies enable applications like autonomous vehicles, personal assistants, and predictive analytics, which are reshaping industries. The Role of AI in Society Predictions for AI Advancement AI will significantly influence various societal aspects, including ethics, education, and governance. As AI systems become more pervasive, discussions surrounding responsible AI usage and societal impact are increasingly critical. Experts predict that AI will surpass human capabilities in specific tasks by 2030. Innovations in areas such as automated reasoning, emotional AI, and generative models will drive unprecedented change across sectors. Benefits and Challenges of AI Introduction to Artificial Intelligence Advantages of AI Implementation Ethical Considerations AI implementation can greatly enhance efficiency and productivity across industries. By automating routine tasks, organizations can redirect human effort toward more strategic initiatives, ultimately leading to increased innovation and competitive advantage. Job Displacement Issues Security Concerns The rise of AI brings ethical dilemmas such as data privacy, surveillance, and algorithmic bias. Establishing ethical frameworks is crucial to ensure AI technologies are developed and deployed in a manner that respects human rights and societal values. AI's automation potential poses significant risks for job displacement across various sectors. While new job categories may emerge, ensuring a smooth transition for affected workers remains a critical concern for governments and businesses. Definition of AI AI systems can be vulnerable to cyberattacks and manipulation, introducing new security risks. Safeguarding AI technologies is essential to prevent misuse and ensure trust in automated systems. Artificial Intelligence refers to the simulation of human intelligence in machines programmed to think and learn. These systems are designed to perform tasks such as speech recognition, decision-making, and problem-solving, mimicking cognitive functions. Brief History of AI Importance of AI in Today’s World AI's history dates back to the 1950s, with the pioneering work of Alan Turing and the Turing Test. Significant milestones include the development of expert systems in the 1970s and the resurgence of neural networks in the 21st century, marking a shift towards deep learning. AI plays a crucial role in industries ranging from healthcare to finance, enhancing efficiency and innovation. Its ability to analyze vast datasets enables smarter decision-making, driving progress and competitive advantage in businesses. Types of Artificial Intelligence AI can be classified into two categories: Narrow AI, which performs specific tasks, and General AI, capable of understanding and reasoning across a range of tasks at a human level. Narrow AI currently dominates applications in various sectors.

Artificial Intelligence Presentation

Transcript: How AI Works Neural Networks Overview Machine Learning Explained Neural Networks simulate the human brain's interconnected neurons to process complex data. They consist of layers that transform input data through weighted connections, making them effective for tasks such as image recognition and language translation. Machine Learning (ML) is a subset of AI that enables systems to learn from data and improve over time without explicit programming. Algorithms analyze patterns within data to make predictions or decisions, exemplified by recommendations on streaming services based on user behavior. Natural Language Processing Computer Vision Basics Computer Vision empowers machines to interpret and analyze visual information from the world. Techniques include image recognition, object detection, and facial recognition, widely utilized in security systems and autonomous vehicles. Natural Language Processing (NLP) enables machines to understand and interact with human language. Used in applications like chatbots and virtual assistants, NLP techniques involve parsing, sentiment analysis, and language generation to create meaningful conversations. Data Training and Algorithms Data training is the process of teaching machines to recognize patterns using training datasets. Algorithms, such as supervised and unsupervised learning, determine how effectively a model can learn, impacting the quality of outputs in AI applications. Artificial Intelligence Presentation Exploring the Future of Technology The Future of AI: Transforming Tomorrow Emerging Trends in AI Technology AI in Everyday Life Key trends include advances in machine learning, improved natural language processing, and the integration of AI in IoT devices. Additionally, AI's role in automating tasks is expanding across sectors, indicating significant advancements in the coming years. AI is increasingly embedded in daily activities through virtual assistants, recommendation algorithms, and smart home devices. These technologies enhance user experience and improve personal efficiency, making AI an integral part of modern living. Regulatory and Governance Frameworks Potential Impact on Global Economy As AI technologies advance, establishing regulatory frameworks is crucial to ensure safety, privacy, and ethical considerations. Governments and organizations must work together to create guidelines that promote innovation while protecting society. AI has the potential to contribute trillions to the global economy, by increasing productivity and creating new markets. However, this growth must also consider the implications of job displacement and workforce adaptation. Concluding Remarks on AI's Role in Society AI is set to revolutionize various aspects of society, influencing everything from healthcare to transportation. As its impact grows, the balance between embracing innovation and ensuring ethical implications must be carefully navigated by all stakeholders. Benefits and Challenges of AI Introduction to Artificial Intelligence Advantages of AI Implementation Job Displacement Concerns AI enhances productivity and efficiency across sectors by automating routine tasks, thus allowing human workers to focus on complex problem-solving. Industries like healthcare and finance experience improved decision-making and accuracy due to data-driven insights. The automation capabilities of AI could lead to significant job displacement across various sectors. According to a McKinsey report, up to 800 million global workers may be displaced by 2030, making reskilling essential. Addressing Bias in AI Systems Ethical Considerations Bias in AI systems can lead to unfair outcomes, particularly in areas like hiring and law enforcement. Ongoing research aims to develop techniques to identify and mitigate biases, ensuring fairness in AI applications. Data Privacy Issues Definition of AI AI deployment raises ethical questions regarding responsibility and accountability. Issues such as transparency, consent, and decision-making biases highlight the need for a robust ethical framework to ensure equitable AI use. As AI systems require vast amounts of data, privacy concerns arise. High-profile breaches underscore the importance of implementing robust data protection protocols to safeguard user information. Artificial Intelligence refers to the simulation of human intelligence in machines designed to think and act like humans. AI encompasses learning, reasoning, problem-solving, perception, and language understanding. Types of AI AI can be categorized into three main types: Narrow AI, which performs specific tasks; General AI, with human-level intelligence; and Superintelligent AI, surpassing human capabilities. Currently, most applications utilize Narrow AI. History of AI Development The concept of AI dates back to ancient mythology, but significant development began in the 1950s with pioneers like Alan Turing. The field has evolved through various waves of optimism and technological

Artificial Intelligence Presentation

Transcript: Real Intelligence components to perceive, understand, and act Interacting the brain What is Artificial Intelligence? Sensing the abillity to understand, and make decisions Mind What is Artificial Intelligence? a branch of computer science Many scientists have defined AI Herbert Simon' defifnition having sensors the five senses Thanks for listening Bye VS Artificial Intelligence the processor Artificial Intelligence Presentation by Welcome to Muhammad Haseeb

Artificial Intelligence Presentation

Transcript: Emma Brelsford/ LSC 508 Libraries 12/4/19 What has been done? // AI In Libraries What is AI? What is AI? Like the field of information science, there are many different definitions of AI Simple definition from Lexico: "the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages" (Lexico, 2019) Defined in regards to it's goals: (Bringsjord, Selmer, Govindarajulu, Sundar, 2019) Relation to libraries Information retrieval Effects both librarians and patrons Catherine Coleman the Digital Research Architect at Stanford University Libraries states "Considering the profound change AI can bring as power tools for scholarship, making our vast library collections discoverable, searchable, and analyzable in new ways. How best do we bring the skills and knowledge of library staff, scholars, and students together to design an intelligent information system that respects the sources, engages critical inquiry, fosters imagination, and supports human learning and knowledge creation" (Coleman, 2017) (Pixabay, 2018) What has been done? Hugh the Library Assitant- Aberystwyth University, Wales Robbie Library Inventory Robot- Temasek Polytechnic Library, Singapore URI AI Lab in Library (The University of Rhode Island, 2018) (Thinking Machine, 2016) (Temasek Polytechnic Library, 2018) References References “AI Lab.” AI Lab, University of Rhode Island , web.uri.edu/ai/. Bringsjord, Selmer and Govindarajulu, Naveen Sundar, "Artificial Intelligence", The Stanford Encyclopedia of Philosophy (Winter 2019 Edition), Edward N. Zalta (ed.), https://plato.stanford.edu/entries/artificial-intelligence/ Coleman, C. (2017), “Artificial intelligence and the library of the future, revisited”, Stanford Libraries, available at:https://library.stanford.edu/blogs/digital-library-blog/2017/11/artificial-intelligence-and-library-future-revisited "Hugh Library Assistant A.I. Robot Aberystwyth University.” YouTube, Thinking Machine , 8 Nov. 2016, www.youtube.com/watch?v=usW8dNsP6Cw. "Library Inventory Robot .” Youtube , Temasek Polytechnic Library , 31 Oct. 2018, www.youtube.com/watch?v=OutMC5pjhkI. Massis, B. (2018). Artificial intelligence arrives in the library. Information and Learning Science, 119(7), 456-459. doi:http://dx.doi.org.uri.idm.oclc.org/10.1108/ILS-02-2018-0011

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