No Plagiarism Please: Cite Correctly In APA Format
No Plagiarismplease Cite Correctlyapa Format1connecting To The Artic
No Plagiarismplease Cite Correctlyapa Format1connecting To The Artic
1. Connecting to the articles, lecture material, videos and discussion prompts thus far in our course, list at least 3 areas in which technological developments have been a challenge for society to embrace/adapt to. Provide an example and detailed explanation within each of those 3 areas.
2. After reviewing the 3 somewhat different definitions of Artificial Intelligence, how would you define “AI” in your own words? Provide a detailed explanation sharing why society NEEDS AI. Provide a detailed explanation with at least one example sharing how AI is a hindrance to society.
3. Considering all of our readings, lectures, videos, and discussions up to this point in our course, please address the following question in your own words. Your response should include specific examples, be no less than 250 words, and connect with our course concepts and terminology. Please be sure to cite any resource used to enhance your thoughts/ideas/opinion.
If you would have known 50 years ago how the technological developments and advances today would be impacting society, what would you have created/developed/changed to ensure these current developments are truly needed for society to thrive? What is the reasoning for wishing you could have created/developed or changed this specific advancement?
Paper For Above instruction
Throughout history, technological advancements have profoundly shaped societal development, often bringing about both beneficial and challenging changes. Understanding these impacts requires examining specific areas where society struggles to adapt to new technologies, exploring the conceptual nature of artificial intelligence (AI), and contemplating future directions inspired by past insights.
Challenges Society Faces with Technological Developments
The first challenge is the rapid pace of technological change, which often outstrips society’s ability to adapt socially, ethically, and legally. For example, social media platforms like Facebook and Twitter have revolutionized communication but also introduced issues such as misinformation, privacy violations, and mental health concerns depending on how these platforms are used (Kuss & Griffiths, 2017). Society struggles to regulate user behavior and protect individual rights in this digital landscape, showing a lag between technological innovation and policy development.
A second challenge lies in ethical considerations surrounding technology use, particularly in fields like biotechnology and data collection. For instance, the deployment of CRISPR gene-editing technology holds immense potential for curing genetic diseases. However, it raises ethical questions about human modification, designer babies, and unintended ecological consequences (Lanphier et al., 2015). Society faces the difficult task of establishing governance frameworks that balance innovation with moral responsibility.
The third challenge involves economic disparities driven by technological advancement. Automation and AI-driven systems threaten to displace human workers across various industries, creating significant socioeconomic divides. For example, manufacturing jobs have declined sharply due to automation, while high-tech sectors benefit disproportionately, leading to increased income inequality (Brynjolfsson & McAfee, 2014). Addressing these disparities requires societal adjustments in education, taxation, and social safety nets.
Defining Artificial Intelligence and Its Societal Role
Artificial Intelligence, in my words, is the simulation of human intelligence processes by machines, particularly computer systems. It involves systems that can learn, reason, and adapt to new information, mimicking cognitive functions. Society needs AI because it can enhance efficiency, solve complex problems, and enable innovations across healthcare, transportation, and communication. For example, AI-powered diagnostics improve the accuracy and speed of medical diagnoses, saving lives and reducing healthcare costs (Topol, 2019).
Nevertheless, AI can hinder society when it perpetuates biases inherent in training data or when it leads to job displacement without adequate social support. An example is predictive policing tools that have been found to reinforce racial biases, resulting in unfair law enforcement practices (O'Neil, 2016). Such issues highlight the importance of ethical AI development and regulation to minimize societal harms.
Reflections on Past Perspectives and Future Development
Reflecting on technological progress over the last fifty years, I would have prioritized the development of sustainable and equitable technologies. Specifically, I would have invested earlier in renewable energy technologies like solar and wind power, which are crucial in combating climate change. The reasoning behind this is that sustainable development supports societal resilience and reduces dependency on finite resources, ensuring a healthier future for all (Jacobson & Delucchi, 2011).
Moreover, I would have promoted innovations in education technology to address disparities in access to quality education worldwide. Early development of affordable, accessible digital learning tools could have democratized education, fostering global talent and reducing poverty (Almpanidis & Dueñas, 2020). These advancements are essential for societal thriving because they empower individuals, promote equality, and mitigate the adverse effects of unchecked technological growth.
References
- Almpanidis, A., & Dueñas, M. (2020). The impact of technology on education and society. International Journal of Educational Technology, 10(2), 112-125.
- Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
- Jacobson, M. Z., & Delucchi, M. A. (2011). Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials. Energy Policy, 39(3), 1154-1169.
- Kuss, D. J., & Griffiths, M. D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311.
- Lanphier, E., Urnov, F., Hotta, C., et al. (2015). Don’t edit the human germ line. Nature, 519(7544), 410-411.
- O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threats democracy. Crown Publishing Group.
- Topol, E. J. (2019). Deep Medicine: How artificial intelligence can make healthcare human again. Basic Books.