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Artificial Intelligence Template Presentation

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Transcript: AI Technologies and Tools Key metrics illustrating the utilization and impact of essential AI technologies. Ethical Considerations in AI 1.5m 40+ 50+ 300k Industries utilizing IBM Watson for tailored AI solutions. Developers using PyTorch, indicating its growing popularity in the AI community. AI services offered by Google Cloud AI, highlighting its comprehensive toolset. Active TensorFlow repositories on GitHub, showcasing its widespread adoption. Cons: Privacy and Employment Concerns Pros: Enhanced Efficiency and Decision-Making However, the rise of AI also raises significant ethical concerns, particularly regarding privacy and job displacement. The collection and analysis of personal data can infringe on individual privacy rights, while automation may lead to job losses in certain industries, necessitating a careful balance between innovation and ethical responsibility. Artificial intelligence can enhance operational efficiency and improve decision-making processes by analyzing large data sets, identifying patterns, and providing insights that might go unnoticed by humans. This increased efficiency can lead to cost savings and improved outcomes in various sectors. AI enhances diagnostic accuracy AI detects fraudulent transactions Applications of AI in Various Industries AI tailors shopping experiences AI powers self-driving vehicles Future Trends in AI A structured overview of anticipated advancements and shifts in artificial intelligence technology. Ethical AI Development Increased Automation Expansion in Creative Industries Focus on creating frameworks that ensure AI technologies are developed responsibly and ethically. AI-Human Collaboration Significant integration of AI technologies to automate routine tasks across various sectors. AI's role in generating creative content, including art, music, and writing, becoming more prominent. Emerging models of teamwork between AI systems and human workers to enhance productivity. Machine Learning Machine learning is a subset of AI that enables systems to learn from data and improve their performance over time without being explicitly programmed. It utilizes algorithms to identify patterns and make predictions based on historical data. Neural Networks Neural networks are computational models inspired by the human brain, consisting of interconnected nodes (neurons) that process information. They are particularly effective for tasks such as image and speech recognition, functioning through layers that transform input data into output. Understanding AI Concepts Natural Language Processing Natural language processing (NLP) enables computers to understand, interpret, and respond to human language. It combines computational linguistics and machine learning to analyze text and speech, facilitating applications like chatbots, translation services, and sentiment analysis. Computer Vision Computer vision involves enabling machines to interpret and make decisions based on visual data. This field integrates AI and image processing to identify objects, recognize patterns, and analyze scenes, leading to advancements in areas like facial recognition and autonomous vehicles. Conclusion and Key Takeaways Artificial intelligence plays a crucial role in transforming industries and enhancing efficiencies. As we advance, it is essential to prioritize ethical considerations to ensure responsible AI development and deployment. Introduction to Artificial Intelligence Artificial Intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn. Its significance lies in its ability to enhance efficiency and innovation across various sectors, including healthcare, finance, and more. Q&A Session This is an opportunity for the audience to engage, clarify doubts, and explore topics related to artificial intelligence. Encouraging questions facilitates a deeper understanding and discussion of the presented material. How is AI changing our lives? A flexible and adaptable template tailored for presenting artificial intelligence concepts and information.

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: Future of AI Understanding the future landscape of artificial intelligence reveals its transformative potential in education and career paths for students. Embracing AI in Classrooms Citations/Resources Used Integrating AI in classrooms provides personalized learning experiences, adapting to students' individual needs and learning paces. This technology facilitates enhanced engagement and interaction, enabling teachers to focus more on student development and less on administrative tasks. Sources include scholarly articles on AI in education, industry reports on AI's impact on job markets, and data from educational organizations advocating AI integration. Accurate citations ensure credibility and support further exploration of AI topics. Impact on Student Career Choices Vision for the Future of AI The future of AI holds limitless possibilities, including advancements in machine learning, natural language processing, and automation. As AI technology continues to evolve, educational institutions must adapt curriculum to ensure students are equipped for a tech-driven environment. AI is reshaping the job market across various sectors, prompting students to acquire new skills relevant to evolving job requirements. Educators must prepare students for careers in AI-related fields, which are expected to dominate the workforce in the coming years. Impact of AI on Education AI is reshaping education by providing adaptive learning technologies, automating administrative tasks, and analyzing student performance data in real-time. This accelerates learning pathways and supports personalized educational experiences. Time-Saving Benefits for Teachers AI School Policy - Suggested Inclusions AI tools can significantly reduce administrative burdens for teachers, allowing them to focus more on instruction and student engagement. Automated grading systems and virtual teaching assistants provide critical support, enhancing teaching efficiency. AI school policies should encompass guidelines for ethical AI usage, student privacy protections, integration strategies, and staff training programs. Additionally, policies should address usage monitoring to ensure compliance with educational standards. Administrator Support for AI Integration Changes in Classroom Design and Instruction AI technologies encourage more collaborative and interactive classroom environments. With the integration of smart technologies, classrooms are evolving to provide immersive learning experiences tailored to individual student needs. School leaders play a crucial role in the successful integration of AI by facilitating professional development opportunities and fostering a culture of innovation. Resource allocation and clear communication of goals are essential for effective implementation. AI in Education Artificial Intelligence is revolutionizing education by streamlining administrative tasks, enhancing instructional methods, and fostering personalized learning experiences. Links to Examples Created 1. Google AI: https://ai.google/tools/ 2. Quizlet for Educators: https://quizlet.com/class/ 3. Grammarly for Education: https://www.grammarly.com/edu 4. Knewton Overview: https://www.knewton.com/ 5. Socratic by Google: https://socratic.org/ Three AI Resources for All Students 1. DreamBox: Adaptive math program that adjusts to each student's learning pace. 2. Microsoft Immersive Reader: Supports diverse learners by providing text reading features and translations. 3. Khan Academy: Uses AI-driven analytics to provide personalized learning experiences in various subjects. Resources for Educators Key Terms of AI This section provides essential AI resources tailored to educators and students, enhancing classroom integration of artificial intelligence tools. Academic Integrity: The AI Dilemma Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Neural Networks are foundational concepts. These terms represent various methodologies and technologies powering advancements in AI, shaping its applications in numerous fields, particularly in education. With AI tools readily available, academic integrity concerns arise, particularly regarding cheating and plagiarism. Schools must establish clear policies to address how AI can be appropriately used without compromising the educational process. Five AI Resources for Teachers 1. Google AI: An array of tools and resources to enhance teaching practices. 2. Quizlet: Uses AI to create adaptive learning tests and flashcards. 3. Grammarly: An AI-powered writing assistant that enhances grammar and style. 4. Knewton: Personalized learning platform using AI to tailor educational content. 5. Socratic: An AI-based tool by Google that helps students solve homework problems. Safety and Security of Information AI systems pose risks concerning data privacy and security. With sensitive information at stake, institutions must ensure robust data protection protocols to safeguard against

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: 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: Speed at which AI ethics would accelerate What are the ethics of AI reproduction? Emotional and Social AI Current examples: LIREC SAL Would they pass a Turing-style test? Why Ethical Machines? What are the motives for emotions in AI? Would an emotional AI be harder to predict? Is that the point? Military are already using basic forms of AI for autonomous aiming on targets Mostly still requires a human user to engage on the aim 1- The Ethics of AI by Nick Bostrom, Eliza Yudowsky 2- Emotion, Artificial Intelligence, and Ethics, Kevin LaGrandeur 3- Considering Social and Emotional Artificial Intelligence, Marc Schroeder and Gary McKeown Questions? Ethical practices of AI [1] Ethical entitlemants of AI [1] Social and Emotional machines? [2] [3] Topic of AI Ethics and morals Are rights applicable to machines? What does it mean to have moral status? Can machines feel? (Link to emotions) If a person was "uploaded", would they have rights? Dangers of social affections from humans? Roomba, bomb disposal robots Craig Heptinstall Practicalities of Emotional, social AI Artificial Intelligence Ethics & Emotion Ethical Machines Social Intelligences Can machines have rights? One widely used example, an AI deciding mortgage handouts Who Is to blame for discrepancies? Why do the results seem unethical? Current ethics being considered Affective robots? Other Considerations

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