Part 2 Presentation Progress Report Your Progress

Part 2 Presentation Progress Reportyour Progress Report Should Be 1

Your progress report should be 1-3 pages in length and include the following: A well-written paragraph that states in detail what your topic is. Be sure to clearly link your topic to both technology and society/societal trends. A well-written paragraph that identifies that you will be using a narrative PowerPoint slideshow for your presentation. Your presentation should be creative, engaging, and informative. Remember that you are assuming the role of a teacher to a college class.

Think about your audience and how to present material in an interesting and clear manner. A preliminary outline that shows what you will address in your presentation. You may provide an actual outline, or describe in words the approach you will take. Use the rubric for the final presentation to help you structure your outline. Your outline and presentation should include the following components:

  • Define your topic, linking it to technology and society
  • Trace the history of your topic
  • Describe how your topic compares to at least one other culture
  • Identify relevant policies related to your topic
  • Discuss future trends related to your topic

Paper For Above instruction

The following is a comprehensive progress report for the upcoming presentation, focusing on a selected technological topic that intersects significantly with societal trends and challenges. For the purpose of illustration, the topic chosen is "Artificial Intelligence (AI) and Its Impact on Society," a subject that has gained prominence due to rapid advancements in AI technologies and their pervasive influence across multiple sectors.

Topic Statement and Link to Technology and Society

The core focus of this presentation is on artificial intelligence (AI), a subset of computer science that develops machines capable of performing tasks typically requiring human intelligence. The topic is critically linked to modern technology, as AI drives innovations in automation, data analysis, robotics, and machine learning. In societal terms, AI influences employment patterns, privacy concerns, ethical considerations, and societal inequalities, reflecting broader societal trends towards digitization and automation. These developments underscore the importance of understanding AI's societal impact to prepare policy responses and ethical frameworks.

Historical Background of AI

The history of AI dates back to the mid-20th century, with foundational milestones like Alan Turing's conceptualization of machine intelligence in the 1950s and the Dartmouth Conference of 1956, which marked the birth of AI as a formal research discipline. Early AI research focused on symbolic reasoning and rule-based systems, but progress stagnated during the "AI winter" periods due to limitations in computational power and data. The resurgence began in the 2000s with advances in machine learning, big data, and neural networks, leading to contemporary applications such as speech recognition, autonomous vehicles, and personalized medicine. The evolution of AI reflects increasing integration of technological innovation with societal needs and ethical debates.

Cross-Cultural Comparison

Different cultures have approached AI development and implementation with distinct priorities and ethical frameworks. For instance, the United States has emphasized commercial and technological innovation, fostering a competitive environment that has led to significant advancements by corporations like Google and Microsoft. Contrastingly, China has adopted a strategic approach centered on national security and societal stability, with substantial investments in AI for surveillance and social governance. These differing cultural priorities influence policy-making, public perception, and the ethical use of AI, highlighting the importance of cross-cultural dialogue in shaping global standards.

Relevant Policies and Ethical Considerations

Policy frameworks surrounding AI vary globally. In the European Union, the proposed AI Act emphasizes ethical AI development, prioritizing human oversight, transparency, and accountability. The U.S. has adopted a more sector-specific approach, with agencies like the National Institute of Standards and Technology (NIST) developing guidelines for trustworthy AI. China emphasizes AI for economic growth and social stability, with regulations supporting surveillance and data localization. Ethical concerns include bias in AI algorithms, privacy violations, and the potential for job displacement. Developing policies that promote responsible AI while mitigating risks requires international cooperation and adherence to shared ethical principles.

Future Trends

The future of AI is poised to further integrate into everyday life, with advancements anticipated in areas like autonomous transportation, healthcare diagnostics, and personalized learning. Experts predict increased development of explainable AI to improve transparency and foster trust. The rise of edge computing will facilitate real-time AI applications with lower latency. Ethical AI frameworks and international standards are likely to become more prominent, addressing issues related to bias, privacy, and accountability. Furthermore, the convergence of AI with emerging technologies such as quantum computing and blockchain promises to unlock new capacities and challenges, necessitating proactive policy and societal engagement.

Conclusion

This presentation aims to explore the multifaceted impact of AI on society, tracing its history, comparing cultural approaches, analyzing policy implications, and projecting future trends. By assuming the role of an educator, the presentation will engage a college audience with a narrative-driven PowerPoint slideshow that combines visual storytelling with clear, concise explanations. Addressing the ethical, cultural, and technological dimensions of AI will foster a comprehensive understanding of its significance and provoke thoughtful discussion about its responsible development and deployment.

References

  • Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press.
  • Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
  • European Commission. (2021). Proposal for a Regulation laying down harmonized rules on artificial intelligence (AI Act). https://eur-lex.europa.eu
  • He, K., et al. (2015). Deep Residual Learning for Image Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
  • Lee, K., & Lee, J. (2022). Cross-Cultural Perspectives on AI Ethics. Journal of International Technology & Society, 34(2), 101-117.
  • Chen, J., & Wang, Q. (2021). AI Policies in China: Surveillance and Social Control. Journal of Asian Public Policy, 14(3), 245-260.
  • Floridi, L. (2019). Establishing the Rules for Building Trustworthy AI. Nature Machine Intelligence, 1(9), 445-447.
  • Bryson, J. (2018). The Artificial Intelligence of Ethics. Ethics and Information Technology, 20(1), 15-25.
  • Ng, A. (2018). AI for All: Charting a Path for Inclusive AI Development. Communications of the ACM, 61(7), 69-74.
  • Mitchell, M. (2019). Artificial Intelligence: A Guide for Thinking Humans. Farrar, Straus and Giroux.

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