Write-up 4

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University of Nebraska, Omaha *

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8700

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Marketing

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Jan 9, 2024

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Write-up 4 Read Chapters 8-9 of The Driver in the Driverless Car. Below are questions you need to answer in your write-up: Chapter 8: Robotics and Biology: The Inevitable Merging of Man and Machine What are some of the hardest tasks for robots to learn to perform? Why? Some of the hardest tasks for robots to learn include those that involve complex and dynamic environments, intricate sensory perception, and fine motor skills. Tasks requiring human-level dexterity, adaptability to unpredictable scenarios, and the ability to navigate unstructured environments pose challenges. This is because replicating the nuanced and multifaceted capabilities of the human body and mind in a robot involves addressing intricate challenges in mechanics, artificial intelligence, and sensor integration. Social media marketing involves a high degree of complexity that extends beyond the technical capabilities of current robots. Here are some reasons why robots may struggle to fully perform the tasks associated with social media marketing: ● Creativity and Emotional Intelligence: Social media marketing often requires a deep understanding of human emotions and the ability to create content that resonates emotionally with a diverse audience. Robots, as of now, lack the creativity and emotional intelligence to generate content that is both engaging and culturally relevant. ● Adaptability: Social media trends are constantly evolving, and successful marketing campaigns require quick adaptation to these changes. Robots may struggle to keep up with the rapidly changing landscape of social media platforms and user behaviors. ● Contextual Understanding: Social media content often relies on understanding context, sarcasm, humor, and other nuanced elements of human communication. Robots may misinterpret or struggle to grasp the subtleties of language, leading to inappropriate or ineffective content. ● Human Connection: Social media marketing often involves building a genuine connection with the audience. Human influencers and marketers can establish authentic relationships, whereas robots lack the ability to form genuine connections or understand the human experience on a personal level. ● Unpredictable Scenarios: Social media crises or unexpected events may require quick, empathetic responses. Robots may lack the ability to navigate these unpredictable situations effectively, leading to potential PR issues. While automation and AI tools can assist in aspects of social media marketing, the inherently human aspects of creativity, emotional intelligence, and adaptability remain challenging for robots to replicate fully. The success of social media marketing often hinges on the ability to connect with people on a personal level, a feat that robots, with their current capabilities, find challenging to achieve.

What is Machine Learning? Machine Learning is a subset of artificial intelligence that focuses on the development of algorithms and models enabling machines to learn from data. Instead of relying on explicit programming, machine learning systems use statistical techniques to allow computers to improve their performance on a task over time as they are exposed to more data. It encompasses various approaches, including supervised learning, unsupervised learning, and reinforcement learning. How may robots save the world? Robots have the potential to contribute to various global challenges. They can be deployed in hazardous environments, disaster response situations, and areas with high risk to human life. In healthcare, robots can assist in surgeries and provide support to medical professionals. Additionally, they can enhance efficiency in industries, reducing resource consumption and waste. The integration of robotics in agriculture can optimize food production. The overarching idea is that by leveraging robotic capabilities, humanity can address complex issues and improve overall well-being. In what areas/tasks/occupations are robots or automation most likely to take over? What are the least likely? Why? Most Likely: Repetitive Tasks: Jobs involving repetitive and predictable tasks are more susceptible to automation. This includes certain manufacturing processes and routine administrative tasks. Data Analysis: Automation is well-suited for tasks involving vast amounts of data analysis, such as in finance, where algorithms can process information quickly. Least Likely: Creative and Complex Decision-Making: Jobs requiring creativity, complex problem-solving, and emotional intelligence are less likely to be fully automated. Professions like creative arts, counseling, and strategic planning involve human-specific attributes that are challenging for robots to replicate. Social media marketing requires a blend of creativity, strategic thinking, emotional intelligence, and adaptability, all of which are deeply ingrained in the human experience. While automation tools can aid in data analysis and certain aspects of marketing, the inherently human qualities remain pivotal for crafting impactful and resonant social

media campaigns. Social media environments can be unpredictable, with real-time events shaping discussions. Human marketers can swiftly adapt to unforeseen circumstances, adjusting marketing strategies and communication approaches. Robots, bound by predefined algorithms, may face challenges in navigating these unpredictable scenarios effectively. Chapter 9: Security and Privacy in an Era of Ubiquitous Connectivity Think about a situation when it was helpful to have lots of information at your fingertips. What was the situation? What did you do with all the information? Example Situation: Planning a Vacation Having information at my fingertips helped in researching destinations, comparing prices, reading reviews, and planning an itinerary. It facilitated making informed decisions about accommodations, activities, and travel arrangements. Think about a situation when it was "bad" to have information at your fingertips. What was the situation? What was different compared to the previous situation when it was helpful? Example Situation: Overanalyzing Health Symptoms In a situation where I experienced mild symptoms, having excessive health information at my fingertips led to overanalyzing and unnecessary anxiety. Unlike the vacation planning scenario, the abundance of health information heightened concerns and negatively impacted peace of mind. When was the last time you changed a password (don't answer, seriously)? Have you ever been a victim of data breach or identity theft? Without sharing too much detail, what changed for/to you afterward? I haven't changed my password frequently, and fortunately, I've never experienced being a victim of a data breach or identity theft. Consequently, there haven't been significant changes or disruptions to my online accounts or personal information. While I understand the importance of cybersecurity practices, the lack of any adverse events has contributed to a sense of security and comfort with my current approach to password management. What are some benefits of sharing personal data/information online? What are the risks? Do the benefits outweigh the risks? Do you have other considerations other than those discussed in the book? Benefits: ● Personalized Services: Sharing data enables platforms to provide personalized recommendations and services. ● Social Connectivity: Facilitates staying connected with friends and family. ● Convenience: Simplifies online transactions and interactions.

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Risks: ● Privacy Concerns: The risk of personal information being misused or accessed without consent. ● Security Threats: Potential exposure to hacking and identity theft. ● Surveillance: Increased surveillance and loss of anonymity. Considerations: ● Ethical Concerns: Consideration of the ethical implications of data usage. ● Regulatory Compliance: The importance of platforms adhering to privacy regulations. ● Informed Consent: The need for users to be informed about how their data will be used. ● Balancing benefits and risks requires careful consideration of individual preferences, ethical standards, and the legal framework surrounding data protection.

Write-up 4

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