Ashford University Artificial Intelligence and Ethics of Automation Discussion

User Generated

NFN97

Computer Science

ashford university

Description

I will upload 2 files:

1- First file has the worksheet which it contain all the question on it.

2- Second file is the power point slides which it related to the question( you will answer according to the slides)

Unformatted Attachment Preview

AI/Automation End-of-Topic Worksheet 1. AI driven job automation is displacing workers in many companies. Proposed new law: every time a company introduces automation that costs jobs it should be required to contribute a percentage of the amount it saves to a fund for retraining the workers whose jobs are lost. These contributions would continue for some fixed period of time. 2. Clearly, concisely, and charitably summarize one of the leading positions on the controversy you discussed in question 1. 3. State two of the strongest (in your opinion) arguments in favor of the position in question 2. 4. Clearly, concisely, and charitably summarize the leading position that conflicts with the position in question 2. 5. State two of the strongest (in your opinion) arguments in favor of the position in question 4. 6. Show how each of the arguments you summarized above can be said to align (or not align) with the recommendations made in the IEEE-CS/ACM Software Engineering Code of Ethics. Please cite specific sections of the code documents. 7. Think critically and carefully about the arguments you selected for questions 3 and 5. How do they compare? Are the arguments for one side stronger than the other? On what basis can you compare these arguments? AI: Ethics of Automation “Your scientists were so preoccupied with whether or not they could, they didn’t stop to think if they should” - Dr. Ian Malcolm, Jurassic Park Source: https://www.mckinsey.com/~/media/McKinsey/Global%20Themes/Future%20of%20Organizations/What%20the%20future%20of%20work% 20will%20mean%20for%20jobs%20skills%20and%20wages/MGI-Jobs-Lost-Jobs-Gained-Executive-summary-December-6-2017.ashx • We examine work that can be automated through 2030 and jobs that may be created in the same period. • We draw from lessons from history and develop various scenarios for the future. • It is hard to predict how all this will play out • However, our research provides some insights into the likely workforce transitions that should be expected and their implications. Key Findings • Automation technologies, including artificial intelligence and robotics, will generate significant benefits for users, businesses, and economies. • They will lift productivity and economic growth. • The extent to which these technologies displace workers will depend on – the pace of their development and adoption; – economic growth; and – growth in demand for work. Key Findings • Even as it causes declines in some occupations, automation will change many more • Sixty percent of occupations have at least 30 percent of constituent work activities that could be automated. • It will also create new occupations that do not exist today, much as technologies of the past have done. Key Findings • About half of all work activities globally have the technical potential to be automated by adapting currently demonstrated technologies • However, the proportion of work actually displaced by 2030 will likely be lower, because of technical, economic, and social factors that affect adoption. • Our scenarios across 46 countries suggest that between almost zero and one third of work activities could be displaced by 2030, with a midpoint of 15 percent. • The proportion varies widely across countries, with advanced economies more affected by automation than developing ones, reflecting higher wage rates and thus economic incentives to automate. Key Findings • Even with automation, the demand for work and workers could increase as economies grow, partly fueled by – productivity growth enabled by technological progress. – Rising incomes and consumption especially in developing countries – Increasing health care for aging societies – investment in infrastructure and energy, and other trends creating demand for work that could help offset the displacement of workers. • Additional investments such as in infrastructure and construction could be needed to reduce the risk of job shortages in some advanced economies. Key Findings • Even if there is enough work to ensure full employment by 2030, major transitions lie ahead • And they could match or even exceed the scale of historical shifts out of agriculture and manufacturing. • Our scenarios suggest that by 2030, 75 million to 375 million workers (3 to 14 percent of the global workforce) will need to switch occupational categories. Key Findings • All workers will need to adapt, as their occupations evolve alongside increasingly capable machines. • Some of that adaptation will require higher educational attainment • Or spending more time on activities that require – social and emotional skills; – creativity; – high-level cognitive capabilities; and – other skills relatively hard to automate. Key Findings • Income polarization could continue in the United States and other advanced economies • Because while demand for high-wage occupations may grow the most while middle-wage occupations decline— assuming current wage structures persist. Key Findings • Increased investment and productivity growth from automation could spur enough growth to ensure full employment, but only if most displaced workers find new work within one year. • If reemployment is slow, frictional unemployment will likely rise in the short-term and wages could face downward pressure. • These wage trends are not universal: in China and other emerging economies, middle-wage occupations such as service and construction jobs will likely see the most net job growth, boosting the emerging middle class. Key Findings • To achieve good outcomes, policy makers and business leaders will need to – embrace automation’s benefits – at the same time, address the worker transitions brought about by these technologies. • Ensuring robust demand growth and economic dynamism is a priority: history shows that economies that are not expanding do not generate job growth. Key Findings • Midcareer job training will be essential, as will enhancing labor market dynamism and enabling worker redeployment. • These changes will challenge current educational and workforce training models, as well as business approaches to skill-building. • Another priority is rethinking and strengthening transition and income support for workers caught in the crosscurrents of automation. Source: https://www.mckinse y.com/~/media/McKi nsey/Global%20Them es/Future%20of%20O rganizations/What%2 0the%20future%20of %20work%20will%20 mean%20for%20jobs %20skills%20and%20 wages/MGI-JobsLost-Jobs-GainedExecutive-summaryDecember-62017.ashx So how close are we to fully automating everything humans can do, anyway?
Purchase answer to see full attachment
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.

Explanation & Answer

Hi,here is your assignment.Get back to me in case you need any ammendments.

1

AI and Automation

Student Name
University Affiliation
Date of Submission

2
Question 1
As technology advances, the nature of job opportunities changes due to the requirement
for one to adopt a new skill set (Manyika et al.,2017). For instance, modern technologies such as
Artificial Intelligence (A. I) and robotics have automated tasks requiring no human input.
Therefore, an additional skillset is a requirement for the employees to master. Future projections
indicate that 14 percent of the global workforce will have to switch occupations.
Another form of displacement of workers occurs when there is a shift towards emotional
skills, cognitive capabilities, and creativity (Manyika et al.,2017). Automation of these activities
is problematic; therefore, human input is crucial. Employees in these areas have a sense of relief
that the incorporation of A.I into their activities await more technology research.
Question 2
There are claims that A.I and robotics will create more employment opportu...


Anonymous
Great! 10/10 would recommend using Studypool to help you study.

Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4

Similar Content

Related Tags