# data[].attributes.body
This source is a few pages from a scholarly journal. It goes into the roots of AI and how the growth of AI has been growing at a steady rate. This is a great article to understand the overall idea of this technology and how it impacts the world of business.

# data[].attributes.body
This source lists different companies that have implemented artificial intelligence within their business. It explains what exactly it has helped within their company. This allows me to understand the possible future effects if other companies, especially the marketing side, were to implement this technology as well. It is just a blog, but I believe I could pull out some useful points.

# data[].attributes.attachment_link.readable_text
To most people, artificial intelligence (AI) is represented in terms of robots with human-like similarities. Today's reality is that of AI powering technologies and driving companies to complete tasks and make things easier. Companies are using AI more than ever, even for tasks that you may not consider.

To understand how AI impacts your business, it's important to understand exactly what artificial intelligence is. According to Merriam Webster artificial intelligence is, "an area of computer science that deals with giving machines the ability to seem like they have human intelligence." These machines allow technologies to seem like they have a human element while improving the efficiency and consistency of the company.

Below are five companies that leverage an artificial intelligence system to provide a better user experience for each user.
Google - Machine Learning Algorithm
As mentioned in a previous post on the impact of artificial intelligence, Google is using artificial intelligence to help their algorithms understand and learn. Google can use AI to make the results more accurate for each user, which provides a better use experience. Google has always been focused on providing the best result for each user.

Besides using artificial intelligence for their algorithms, Google is using the technology for the self-driving cars too. The goal of self-driving cars will be able to analyze the road ahead of it and make decisions in advance by learning from past experiences. The more experiences the self-driving cars encounter the more it can learn to make sure the people riding in the car are protected.

Lastly, like Siri from Apple, Google uses AI to help power its own personal assistant on smartphones. Google will use the technology to learn about certain locations a person typically goes to or eats at. Google also pulls in information from events and emails to show people the information they might want to see as quickly as possible. Google's personal assistant over time while learn more about the user to help them find the information they are looking for as quickly as possible.
Under Armor - Personal Fitness Advice Wayblazer - Language recognition API Spotify - Finding the best music
Rare Carat is a website that calls itself the "Kayak of Diamonds." Rare Carat uses the IBM Watson technology to compare the price of diamonds across various online retailers. The technology allows users to find diamonds at the right price without feeling like they are paying too much if they happened to go to a traditional brick and mortar jeweler. Besides using the technology to find the best diamond, Rare Carat is looking into more AI options that would walk a user through the entire process, much like what you would find in the store. That AI technology would would act like a representative that would answer questions and concerns while someone is making the purchase.

Under Armor leveraged IBM Watson to create a health-tracking app call " Record." Record is an app that will track and analyze workouts, sleep data, and nutrition, while also importing data from other fitness tracking apps. The biggest benefit of the fitness-tracking app is the ability to provide personalized recommendations for nutrition and training advice. By using AI, the app will change the way people can seek fitness advice by basically getting a personal trainer experience without going to the gym.

Wayblazer, like many other companies, leverages the IBM Watson technology for the travel industry. Wayblazer focuses on the language recognition API to analyze cues and triggers from the traveler's search to yield personalized hotel recommendations. The AI technology will allow personalized experiences to each user which can lead encourage them to select the right hotel without extensive research.
Ask Yourself: Is there an opportunity to leverage AI in your business to help your customers?
Like other music and video streaming services, Spotify uses AI and deep learning to provide recommendations on similar music that users will enjoy. The application monitors the listening preferences and inserts them into a learning algorithm to make the song recommendations. You can see the deep learning being used with the Discover Weekly playlists that show related music based off of preferences. Also, Spotify has been showing suggested songs based on the type of music a user listens to more frequently. This use of AI may not be as advanced as other companies but it still uses predictive analytics and AI algorithms to learn about each user, enhancing the product.

Artificial Intelligence to the Rescue

Artificial intelligence is already pushing companies in the right direction to creating the best user experience. The tools and technologies that are being driven by AI will only increase. Artificial intelligence can help companies become more efficient and create more technologies to help each individual user.

# data[].attributes.attachment_link.title
Artificial Intelligence is Here: 5 Brands Using AI

# data[].attributes.attachment_link.description
To most people, artificial intelligence (AI) is represented in terms of robots with human-like similarities. Today's reality is that of AI powering technologies and driving companies to complete tasks and make things easier. Companies are using AI more than ever, even for tasks that you may not consider.

# data[].attributes.body
This source lists the top 15 biggest challenges that marketers face. Forbes would not be considered a scholarly source, however, it could be beneficial in furthering my understanding of difficulties that AI possibly may be able to help with.

# data[].attributes.attachment_link.readable_text
There is no doubt that the past few years have been a major challenge for most businesses. When it comes to ensuring consumers continue to perceive a company as strong, stable and trustworthy through difficult times, senior business leaders rely on the experience and expertise of their in-house marketing teams or agency partners.

As the economy continues to absorb and rebound from the aftershocks of unexpected downturns, a marketer's job becomes more critical to the success of the business they serve. Here, 15 members of Forbes Agency Council share their perspectives on what the top challenges are for marketers this year.

Forbes Agency Council members explore some of the biggest challenges facing marketers this year.
Photos courtesy of the individual members.

1. Dealing With Data Depreciation
We are coming out of the age of big data, and we need to make more correlations and logical assumptions. Targeting is becoming broader, and siloed channel measurement is becoming more difficult. The good news? This is actually an opportunity to look at your marketing holistically and scale campaigns that will drive incremental volume and revenue for your business. - Donna Robinson, Collective Measures
2. Not Having A Solid Marketing Plan
It always comes down to having a solid marketing plan. It doesn't matter what trends prevail in the marketplace if your business doesn't have a clear marketing plan. I firmly believe that strategy is at the heart of everything a business does. Your marketing plan must include the goals you seek to achieve; it'll help your team create marketing messages that align with your ultimate goal. - Dmitrii Kustov, Regex SEO
3. Revising Keywords To Reflect Current Conditions
Marketers need to be choosy with their keywords. Many businesses are experiencing supply chain issues that impact the services and products they are currently able to provide. SEO needs to accommodate these challenges by targeting other profitable keywords. - Hannah Trivette, NUVEW Web Solutions
4. Testing Emerging Channels
With the rising costs of advertising on channels such as Facebook and Instagram, marketers are having to test emerging channels to find growth opportunities. How to test, validate, resource and scale these emerging channels-such as Tiktok-is a key challenge for marketers looking to deliver growth. - James Ross , Hype Partners

Forbes Agency Council is an invitation-only community for executives in successful public relations, media strategy, creative and advertising agencies. Do I qualify?
5. Breaking Through The Digital Clutter
Breaking through the digital clutter ranks among the top challenges we hear from clients. Too many instances of weak offers, keyword exploitation, run-on copy, spam emails, mistargeting and more suggest smart strategy matters less and "impressions" matter more. We all know better. And unlike pandemics, inflation and wars, this is something we can control! - Bruce McMeekin, BKM Marketing Associates, Inc.
6. Staying Ahead Of The Pace Of Change
The biggest challenge is staying ahead of the pace of change. While Google and the social networks constantly tweak their ad offerings and platform functionality, user preferences also shift fast. You need to be in tune not just with how you're able to reach potential customers but also how customers want to be reached. Being an expert on just one or the other will mean you get left behind. - Tellef Lundevall, Accelerated Digital Media
7. Understanding How Upper-Funnel Actions Impact Lower-Funnel Events
The line between brand awareness and performance marketing is being eliminated, and marketers need to be well-versed in the impact upper-funnel actions have on lower-funnel events. This presents a unique challenge for most e-commerce brands, as most are more concerned with lower-funnel metrics (conversions, return on ad spend and cost per action) than they are with upper-funnel metrics (reach, impressions, clicks and views). - Justin Buckley, ATTN Agency
8. Avoiding Burnout
The top challenge is burnout. The media and communications industry has some of the highest rates of burnout, and things are only getting worse. With the increasing digital pace of change, globalization, and multiple messaging and project management channels, marketers are now expected to be "always on." Add to this budget restraints and pressure to drive leads fast, and it's a recipe for a well-being disaster. - Azadeh Williams, AZK Media
9. Rising Above The Noise
With the continued advancements in social media, additional tech and new platforms, reaching consumers has never been easier, yet rising above the noise to get their attention has never been more challenging. Your campaigns need to be interesting and tell great, shareable stories through clutter-breaking creative. - Marc Becker, The Tangent Agency
10. Quantifying Return On Investment
Proving ROI is a challenge marketers have long struggled with and continue to face in 2022. Getting internal teams to understand that marketing efforts aren't always quantifiable can be difficult, so finding ways to track your results that are quantifiable is essential to gaining internal buy-in. Leveraging artificial intelligence-backed tools, such as Google Analytics, to get those insights is a game changer. - Heather Kelly, Next PR
11. Measuring And Articulating The Business Value For Nonmarketers
Measuring the business value and articulating this value for nonmarketers is a challenge. The client's business side doesn't always know (or care about) marketing-qualified leads or sales-qualified leads; instead, they want to know what revenue we influenced, or how we bring actual value to the company. Many marketers struggle to report on this and clearly articulate it to nonmarketers. - Jonathan Franchell, Ironpaper
12. Effectively Promoting Content
Essentially, there's a content crisis afoot: too much content on search engines and social media chasing audience attention. Pumping out content is never the problem, but effective content promotion-meaning getting the right message to the right client at the right time-is sorely lacking. Content you spent a lot of time, energy and money on ends up being like a needle in a stack of needles. - Christopher Carr, Farotech
13. Hiring Talent
Hiring talent is absolutely the biggest challenge. The drive for recruitment is incredibly high, yet there are just not enough resources to fulfill demand. Salary expectations are significantly higher, in line with an increase in living costs, with the pandemic prompting huge changes in terms of the packages that employees are demanding. It will level out, but at the moment it is tough. - Jules Herd, Five in a Boat
14. Delivering Quality Branded Content At Scale
Being able to deliver quality branded content at scale is the challenge in 2022. And delivery does not just apply to agency content production. Marketers will need to change the way they operate internally. That means more iterative and collaborative development, faster approvals, better design systems and direct lines to legal. This means new roles and more internal investment in marketing operations. - John Geletka, Geletka+
15. Maintaining The Effectiveness Of Your Website
Maintaining the effectiveness of your website remains one of the top challenges for marketers. In as little as two years, your website can become half as effective as it was at launch due to a variety of reasons, such as evolving technology, changing SEO algorithms, design trends, outdated content and the incremental (and inevitable) bugs and issues that affect your website's reliability over time. - Steve Ohanians, WebEnertia

# data[].attributes.attachment_link.title
Council Post: 15 Of The Biggest Challenges Marketers Face In 2022

# data[].attributes.attachment_link.description
There is no doubt that the past few years have been a major challenge for most businesses. When it comes to ensuring consumers continue to perceive a company as strong, stable and trustworthy through difficult times, senior business leaders rely on the experience and expertise of their in-house marketing teams or agency partners.

# data[].attributes.body
This source collects information about how current Americans feel about artificial intelligence in the world today. The Pew Research Center is a reliable source as they offer unbiased and bipartisan research. I plan to use this information within my project in order to communicate the feelings of AI in today's world.

# data[].attributes.attachment_link.provider_name
Pew Research Center: Internet, Science & Tech

# data[].attributes.attachment_link.readable_text
Artificial intelligence (AI) is spreading through society into some of the most important sectors of people's lives - from health care and legal services to agriculture and transportation. As Americans watch this proliferation, they are worried in some ways and excited in others.

In broad strokes, a larger share of Americans say they are "more concerned than excited" by the increased use of AI in daily life than say the opposite. Nearly half of U.S. adults (45%) say they are equally concerned and excited. Asked to explain in their own words what concerns them most about AI, some of those who are more concerned than excited cite their worries about potential loss of jobs, privacy considerations and the prospect that AI's ascent might surpass human skills - and others say it will lead to a loss of human connection, be misused or be relied on too much.

But others are "more excited than concerned," and they mention such things as the societal improvements they hope will emerge, the time savings and efficiencies AI can bring to daily life and the ways in which AI systems might be helpful and safer at work. And people have mixed views on whether three specific AI applications are good or bad for society at large.

This chapter covers the general findings of the survey related to AI programs. It also runs through highlights from in-depth explorations of public attitudes about three AI-related applications that are fully explored in the three chapters after this. Some key findings:

How Pew Research Center approached this topic

The Center survey asked respondents a series of questions about three applications of artificial intelligence (AI):

Facial recognition technology that could be used by police to look for people who may have committed a crime or to monitor crowds in public spaces.

Computer programs, called algorithms, used by social media companies to find false information about important topics that appears on their sites.

Driverless passenger vehicles that are equipped with software allowing them to operate with computer assistance and are expected to be able to operate entirely on their own without a human driver in the future.

Other questions asked respondents their feelings about AI's increased use, the way AI programs are designed and a range of other possible AI applications.

This study builds on prior Center research including surveys on Americans' views about automation in everyday life, the role of algorithms in parts of society and the use of facial recognition technology. It also draws on insights from several canvassings of experts about the future of AI and humans.

Use of facial recognition by police: We chose to explore the use of facial recognition by police because police reform has been a major topic of debate, especially in the wake of the killing of George Floyd in May 2020 and the ensuing protests. The survey shows that a plurality (46%) thinks use of this technology by police is a good idea for society, while 27% believe it is a bad idea and 27% say they are not sure. At the same time, 57% think crime would stay about the same if the use of facial recognition by the police becomes widespread, while 33% think crime would decrease and 8% think it would rise.

Moreover, there are divided views about how the widespread use of facial recognition technology would impact the fairness of policing. Majorities believe it is definitely or probably likely that widespread police use of this technology would result in more missing persons being found by police and crimes being solved more quickly and efficiently. Still, about two-thirds also think police would be able to track everyone's location at all times and that police would monitor Black and Hispanic neighborhoods much more often than other neighborhoods.

Use of computer programs by social media companies to find false information on their sites: We chose to study attitudes about the use of computer programs (algorithms) by social media companies because social media is used by a majority of U.S. adults. There are also concerns about the impact of made-up information and how efforts to target misinformation might affect freedom of information. The survey finds that 38% of U.S. adults think that the widespread use of computer programs by social media companies to find false information on their sites has been a good idea for society, compared with 31% who say it is a bad idea and 30% who say they are not sure.

When asked about specific possible impacts, public views are largely negative. Majorities believe widespread use of algorithms by social media companies to find false information is definitely or probably causing political views to be censored and news and information to be wrongly removed from the sites. And majorities do not think these algorithms are causing beneficial things to happen like making it easier to find trustworthy information or allowing people to have more meaningful conversations. There are substantial partisan differences on these questions, with Republicans and those who lean toward the GOP holding more negative views than Democrats and Democratic leaners.

Driverless passenger vehicles: We chose to study public views about driverless passenger vehicles because they are being tested on roads now and their rollout on a larger scale is being debated. The survey finds that a plurality of Americans (44%) believe that the widespread use of driverless passenger vehicles would be a bad idea for society. That compares with the 26% who think this would be a good idea. Some 29% say they are not sure. A majority say they definitely or probably would not want to ride in a driverless car if they had the opportunity. Some 39% believe widespread use of driverless cars would decrease the number of people killed or injured in traffic accidents, while 31% think there would not be much difference and 27% think there would be an increase in these types of deaths or injuries.

People envision a mix of positive and negative outcomes from widespread use of driverless cars. Majorities believe older adults and those with disabilities would be able to live more independently and that getting from place to place would be less stressful. At the same time, majorities also think many people who make their living by driving others or delivering things with passenger vehicles would lose their jobs and that the computer systems in driverless passenger vehicles would be easily hacked in ways that put safety at risk.

In their responses to survey questions about other possible developments in artificial intelligence, majorities express concern about the prospect that AI could know people's thoughts and behaviors and make important life decisions for people. And when it comes to the use of AI for decision-making in a variety of fields, the public is more opposed than not to the use of computer programs (algorithms) to make final decisions about which patients should get a medical treatment, which people should be good candidates for parole, which job applicants should move on to a next round of interviews or which people should be approved for mortgages.

Still, there are some possible AI applications that draw public appeal. For example, more Americans are excited than concerned about AI applications that can do household chores. That is also the pattern when people are asked about AI apps that can perform repetitive workplace tasks.

There are patterns in views of three AI applications, but other opinions are unique to particular AI systems

The chapters following this one cover extensive findings about people's views about three major applications of AI, including demographic differences and patterns that emerge.

Americans are split in their views about the use of facial recognition by police. Among these differences: While majorities across racial and ethnic groups say police would use facial recognition to monitor Black and Hispanic neighborhoods much more often than other neighborhoods if the technology became widespread, Black and Hispanic adults are more likely than White adults to say this. As for the way algorithms are being used by social media companies to identify false information, there are clear partisan differences in the public's assessment of the use of those computer programs. And people believe that a mix of both positive and negative outcomes would occur if driverless cars became widely used.

When it comes to public awareness of these AI applications, majorities have heard at least a little about each of them, but some Americans have not heard about them at all and awareness can relate to views of these applications. For instance, those who have heard a lot about driverless passenger vehicles are more likely than those who have not heard anything about such cars to believe they are a good idea for society. But when it comes to the use of facial recognition by the police, those who have heard a lot are more likely to say it is a bad idea for society than those who have not heard anything about it. Views about whether the use of algorithms by social media companies to detect false information on their sites is good or bad for society lean negative among those who have heard a lot, while among those who have heard nothing, over half are not sure how they feel about this practice.

In addition to awareness being a factor associated with Americans' views about these AI applications, there are patterns related to education. Those with higher levels of education often hold different views than those who have less formal education. For example, those with a postgraduate education are more likely than those with a high school education or less to think the widespread use of algorithms by social media companies to root out false information on the platforms and the use of driverless vehicles are good ideas for society. The reverse is true for facial recognition - those with a postgraduate degree are more likely to think its widespread use by police is a bad idea for society than those with a high school diploma or less education.

Additionally, the views of young adults and older adults diverge at times when these three AI applications are assessed. For instance, adults ages 18 to 29 are more likely than those 65 and older to say the widespread use of facial recognition by police is a bad idea for society. At the same time, this same group of young adults is more likely than those 65 and older to think the widespread use of self-driving cars is a good idea for society.

The next sections of this chapter cover the findings from the survey's general questions about AI.

Americans more likely to be 'more concerned than excited' about increased use of AI in daily life than vice versa

In this survey, artificial intelligence computer programs were described as those designed to learn tasks that humans typically do, such as recognizing speech or pictures. Of course, an array of AI applications are being implemented in everything from game-playing to food growing to disease outbreak detection. Synthesis efforts now regularly chart the spread of AI.

As these developments unfold, a larger share of Americans say they are "more concerned than excited" about the increased use of AI in everyday life than say they are "more excited than concerned" about these prospects (37% vs. 18%). And nearly half (45%) say they are equally excited and concerned.

There are some differences by educational attainment and political affiliation. For instance, a larger share of those who have some college experience or a high school education or less say they are more concerned than excited, compared with their counterparts who have a bachelor's or advanced degree (40% vs. 32%). Republicans are more likely than Democrats to say they are more concerned than excited (45% vs. 31%). Full details about the views of different groups on this question can be found in the Appendix.

When those who say they are more excited than concerned about the increased use of AI in daily life are asked to explain in their own words the main reason they feel that way, 31% said they believe AI has the ability to make key aspects of our lives and society better.

As one man explained in his written comments:
"AI, if used to its fullest 'best' potential, could help to solve an unbelievable number of major problems in the world and help solve massive crises like world hunger, pollution, climate change, joblessness and others." - Man, 30s
A woman made a similar point:
"[AI has] the ability to learn and create things that humans are incapable of doing. [AI programs] will have massive impacts to our daily life and will solve issues related to climate change and healthcare." - Woman, 30s
Smaller shares of those who express more excitement than concern over AI mention its ability to save time and make tasks more efficient (13%), see it as a reflection of inevitable progress (10%), or cite the fact that it could handle mundane or tedious tasks (7%) as the main reasons why they lean enthusiastic about the prospect of AI's increased presence in daily life.

Those who are excited about the increased use of AI in daily life also cite AI's ability to improve work, their sense that AI is interesting and exciting and the ability of AI programs to perform difficult or dangerous tasks as a reason: 6% of those more excited than concerned mentioned each.

In addition, 4% of those who are more excited say AI is more accurate than humans, while an identical share say they are excited because AI can make things more accessible for those who have a disability or who are older. Some 2% offer personal anecdotes of how AI has already been beneficial to their lives, and another 2% wrote that many of the fears about AI are misplaced due to what they believe to be unrealistic depictions of AI in science fiction and popular culture.

The 37% of Americans who are more concerned than excited about AI's increasing use in daily life also mention a number of reasons behind their reticence. About one-in-five among this group (19%) express concerns that increased use of AI will result in job loss for humans. As a woman in her 70s put it:
"[AI programs] will eventually eliminate jobs. Then what will those people do to survive in life?" - Woman, 70s
Meanwhile, 16% of those who are more concerned about the increased use of AI say it could lead to privacy problems, surveillance or hacking. A woman in her 30s wrote of this concern:
"I am concerned that the increased use of artificial intelligence programs will infringe on the privacy of individuals. I feel these programs are not regulated enough and can be used to obtain information without the person knowing." - Woman, 30s
Another 12% of these respondents are concerned about dehumanization, or the belief that human connections and qualities will be lost, while 8% each mention the potential for AI becoming too powerful or for people to misuse the technology for nefarious reasons.

Some 7% who express more concern than excitement about AI offer that it would make people overly reliant on this technology, and 6% worry about the failures and flaws of the technology.

Small shares of those who are worried about the integration of AI also mention other concerns ranging from what technology companies or the government would do with this type of technology to human biases being embedded into these computer programs to what they see as a lack of regulation or oversight of the technology and the industries that develop them.

Mixed views about some ways AI applications could develop: People are more excited about some, more concerned about others

In addition to the broad question about where people stand in terms of their general excitement or concern about AI, this survey also asked about a number of more specific possible developments in AI programs.

There are widely varying public views about six different kinds of AI applications that were included in the survey. Some prompt relatively more excitement than concern, and some generate substantial concern. For instance, 57% say they would be very or somewhat excited for AI applications that could perform household chores, but just 9% express the same level of enthusiasm for AI making important life decisions for people or knowing their thoughts and behaviors.

Nearly half (46%) would be very or somewhat excited about AI that could perform repetitive workplace tasks, compared with 26% who would be very or somewhat concerned about that. When it comes to AI that could diagnose medical problems, people are more evenly split: 40% would be at least somewhat excited and 35% would be at least somewhat concerned, while 24% say they are equally excited and concerned. More cautionary views are also evident when people are asked about AI that could handle customer service calls: 47% are very or somewhat concerned about this issue, compared with 27% who are at least somewhat excited.

It is important to note that on these issues, portions of Americans say they are equally excited and concerned about various possible AI developments. That share ranges from 16% to 27% depending on the possible development.

Some differences among groups stand out as Americans assess these various AI apps. Those with a high school education or less are more likely than those with postgraduate degrees to say they are at least somewhat concerned at the prospect that AI programs could perform repetitive workplace tasks (36% vs. 12%). Women are more likely than men to say they would be at least somewhat concerned if AI programs could diagnose medical problems (43% vs. 27%). A larger share of those ages 65 and older (82%) than of those 18 to 29 (63%) say they would be very or somewhat concerned if AI programs could make important life decisions for people.

Views of men, White adults seen as better represented than those of other groups when designing AI programs

In recent years, there have been significant revelations about and investigations into potential shortcomings of artificial intelligence programs. One of the central concerns is that AI computer systems may not factor in a diversity of perspectives, especially when it comes to gender, race and ethnicity.

In this survey, people were asked how well they thought that those who design AI programs take into account the experiences and views of some groups. Overall, about half of Americans (51%) believe the experiences and views of men are very or somewhat well taken into account by those who design AI programs. By contrast, smaller shares feel the views of women are taken into account very or somewhat well. And while just 12% of U.S. adults say the experiences of men are not well taken into account in the design of AI programs, about twice that share say the same about the experiences and views of women.

Additionally, 48% think the views of White adults are at least somewhat well taken into account in the creation of AI programs, versus smaller shares who think the views of Asian, Black or Hispanic adults are well-represented. Just 13% feel the views and experiences of White adults are not well taken into account; 23% say the same about Asian adults and a third say this about Black or Hispanic adults.

Still, there are about four-in-ten in each case who, when asked these questions, say they are not sure how the experiences and views of different groups are taken into account as AI programs are designed.

Views on this topic vary across racial and ethnic groups:

Among White adults: They are more likely than other racial and ethnic groups to say they are "not sure" how well the designers of AI programs take into account each of the six sets of experiences and views queried in this survey. For instance, 45% of White adults say they are not sure if the experiences and views of White adults are well accounted for in the design of AI programs. That compares with 30% of Black adults, 28% of Hispanic adults and 21% of Asian adults who say they are not sure about this. Similar uncertainty among White adults appears when they are asked about other groups' perspectives.

Among Black adults: About half of Black adults (47%) believe that the experiences and views of Black adults are not well taken into account by the people who design artificial intelligence programs, while a smaller share (24%) say Black adults' experiences are well taken into account. Compared with Black adults, a similar share of Asian adults (39%) feel the experiences and views of Black adults are not well taken into account when AI programs are designed, while Hispanic adults (35%) and White adults (29%) are less likely than Black adults to hold this view.

Among Hispanic adults: About one-third of Hispanic Americans (34%) believe the experiences and views of Hispanic adults are well taken into account as the programs are designed. This is the highest share among the groups in the survey: 24% of Asian adults, 22% of Black adults and 21% of White adults feel this way. Meanwhile, 36% of Hispanic adults say the experiences and views of Hispanic adults are not well taken into account as AI programs are designed. About three-in-ten Hispanic adults (29%) say they are not sure on this question.

Among Asian adults: Some 41% of Asian adults think that the experiences of Asian adults are well taken into account. Similar shares of Hispanic adults (42%) and Black adults (36%) say this about Asians' views, versus a smaller share of White adults (29%) who think that is the case.

A plurality of Americans are not sure whether AI can be fairly designed

In addition to gathering opinion on how well various perspectives are taken into account, the survey explored how people judge AI programs when it comes to fair decisions. Asked if it is possible for the people who design AI to create computer programs that can consistently make fair decisions in complex situations, Americans are divided: 30% say AI design for fair decisions is possible, 28% say it is not possible, while the largest share - 41% - say they are not sure.

Some noteworthy differences among different groups on this question are tied to gender. Men are more likely than women to believe it is possible to design AI programs that can consistently make fair decisions (38% vs. 22%), and women are more likely to say they are not sure (46% vs. 35%).

# data[].attributes.attachment_link.title
1. How Americans think about artificial intelligence

# data[].attributes.attachment_link.description
Artificial intelligence (AI) is spreading through society into some of the most important sectors of people's lives - from health care and legal services to agriculture and transportation. As Americans watch this proliferation, they are worried in some ways and excited in others.

# data[].attributes.body
The information within this article comes from the U.S. Bureau of Labor Statistics. It is credible and helpful as far as finding out the job outlook of any sort of job. It also states other information about a role in marketing that I may find useful for my end project.

# data[].attributes.attachment_link.readable_text
Summary

Video transcript available at https://www.youtube.com/watch?v=8r-nFPlKELc.

Advertising, promotions, and marketing managers plan programs to generate interest in products or services.

Advertising, promotions, and marketing managers typically work in an office setting. They may travel to meet with clients or media representatives. Most of these managers work full time, and some work more than 40 hours per week.

Advertising, promotions, and marketing managers typically need a bachelor's degree. They also typically need work experience in a related occupation.

The median annual wage for advertising and promotions managers was $127,830 in May 2022.

The median annual wage for marketing managers was $140,040 in May 2022.

Overall employment of advertising, promotions, and marketing managers is projected to grow 6 percent from 2022 to 2032, faster than the average for all occupations.

About 34,000 openings for advertising, promotions, and marketing managers are projected each year, on average, over the decade. Many of those openings are expected to result from the need to replace workers who transfer to different occupations or exit the labor force, such as to retire.

Explore resources for employment and wages by state and area for advertising, promotions, and marketing managers.

Compare the job duties, education, job growth, and pay of advertising, promotions, and marketing managers with similar occupations.

Learn more about advertising, promotions, and marketing managers by visiting additional resources, including O*NET, a source on key characteristics of workers and occupations.

What Advertising, Promotions, and Marketing Managers Do About this section

Advertising, promotions, and marketing managers plan programs to generate interest in products or services. They work with art directors, advertising sales agents, financial staff, and others to develop strategies and materials.

Duties

Advertising, promotions, and marketing managers typically do the following:

Work with department heads or staff to discuss topics such as budgets and contracts, creative vision, marketing plans, and media buying

Plan promotional campaigns, such as contests or giveaways, to boost brand loyalty and reach new customers

Plan advertising campaigns, including in which media-such as radio, television, or email-to advertise

Negotiate advertising contracts with clients and partners

Evaluate the look and feel of displays or websites in advertising or marketing campaigns

Initiate market research studies and analyze their findings to understand customer and market opportunities for businesses

Develop pricing and other strategies, such as how to acquire and retain customers and manage their data, for marketing products or services

Meet and strategize with clients to provide marketing or related advice

Direct the hiring and daily activities of advertising, promotions, and marketing staff

Advertising managers create interest among potential buyers of a product or service. They do this for a department, an entire organization, or individual projects (referred to as an account).

Advertising managers work with sales staff and others to generate ideas for an advertising campaign. They oversee the staff that develops the advertising. They work with the finance department to prepare a budget and cost estimates for the campaign. Often, advertising managers serve as liaisons between the client and the advertising or promotion agency that develops and places the ads.

Some advertising managers specialize in a particular field or type of advertising. For example, media directors determine the way in which an advertising campaign reaches customers, whether through radio, television, or various other media. Account executives have a different focus: they oversee client accounts but do not develop or supervise advertising projects themselves.

Promotions managers direct programs that combine advertising with purchasing incentives and target them to customers in media, in displays, or at events to increase sales. Purchasing incentives may include discounts, rebates, contests, and other programs to strengthen brand loyalty. Promotions managers also contribute to developing brand loyalty programs.

Marketing managers estimate demand and identify potential markets for products and services that an organization and its competitors offer. They may develop pricing and other strategies, such as ways to acquire and retain customers. They work with product development, public relations, and sales staff to help organizations maximize their profits and market share while ensuring customer satisfaction.

Advertising and promotions managers held about 30,900 jobs in 2022. The largest employers of advertising and promotions managers were as follows:

Advertising, public relations, and related services

29%

Self-employed workers

27

Information

14

Management of companies and enterprises

7

Wholesale trade

2

Marketing managers held about 358,200 jobs in 2022. The largest employers of marketing managers were as follows:

Professional, scientific, and technical services

25%

Management of companies and enterprises

12

Finance and insurance

10

Wholesale trade

9

Manufacturing

7

Advertising, promotions, and marketing managers work with art directors, advertising sales agents, financial staff, and others to develop strategies and materials. Because their work affects a firm's revenue, these managers also collaborate with top executives.

Advertising, promotions, and marketing managers typically work in an office setting. They may travel to meet with clients or media representatives. Their work may be stressful, particularly near deadlines.

Work Schedules

Most advertising, promotions, and marketing managers work full time. Some work more than 40 hours per week.

How to Become an Advertising, Promotions, or Marketing Manager About this section

Advertising, promotions, and marketing managers typically need a bachelor's degree. They also typically need work experience in a related occupation.

Education

Advertising, promotions, and marketing managers typically need a bachelor's degree in a business field, such as marketing, or in a related field, such as communications. Relevant courses might include consumer behavior, market research, and art history.

Some employers prefer to hire candidates who have a master's degree.

Advertising and marketing managers may begin as trainees or participate in mentoring or shadowing opportunities. In addition, completing an internship while in school may make candidates more attractive to prospective employers.

Work Experience in a Related Occupation

These managers typically need work experience in a related advertising, marketing, promotions, or sales occupation. For example, they may have worked as sales representatives, market research analysts, or public relations specialists.

Important Qualities

Analytical skills. Advertising, promotions, and marketing managers must be able to evaluate industry trends and determine the best strategies for their clients.

Communication skills. These workers must be able to collaborate with other managers and staff. They also must be persuasive in communicating with the public.

Creativity. Advertising, promotions, and marketing managers must be able to generate new and imaginative ideas.

Decision-making skills. These workers often must choose between competing advertising and marketing strategies put forward by staff.

Interpersonal skills. Managers must deal with a range of people and personalities in different roles, both inside and outside their organization.

Organizational skills. Advertising, promotions, and marketing managers must manage their time and budget efficiently while directing and motivating staff.

Advertising, Promotions, and Marketing Managers

Median annual wages, May 2022

Marketing managers

Advertising, promotions, and marketing managers

Advertising, marketing, promotions, public relations, and sales managers

Advertising and promotions managers

Total, all occupations

The median annual wage for advertising and promotions managers was $127,830 in May 2022. The median wage is the wage at which half the workers in an occupation earned more than that amount and half earned less. The lowest 10 percent earned less than $60,380, and the highest 10 percent earned more than $239,200.

The median annual wage for marketing managers was $140,040 in May 2022. The lowest 10 percent earned less than $76,790, and the highest 10 percent earned more than $239,200.

In May 2022, the median annual wages for advertising and promotions managers in the top industries in which they worked were as follows:

Information

$146,900

Management of companies and enterprises

133,110

Advertising, public relations, and related services

131,190

Wholesale trade

107,860

In May 2022, the median annual wages for marketing managers in the top industries in which they worked were as follows:

Management of companies and enterprises

$162,870

Finance and insurance

161,040

Professional, scientific, and technical services

148,810

Manufacturing

147,940

Wholesale trade

135,540

Most advertising, promotions, and marketing managers work full time. Some work more than 40 hours per week.

Advertising, Promotions, and Marketing Managers

Percent change in employment, projected 2022-32

Marketing managers

Advertising, promotions, and marketing managers

Advertising, marketing, promotions, public relations, and sales managers

Total, all occupations

Advertising and promotions managers

Overall employment of advertising, promotions, and marketing managers is projected to grow 6 percent from 2022 to 2032, faster than the average for all occupations.

About 34,000 openings for advertising, promotions, and marketing managers are projected each year, on average, over the decade. Many of those openings are expected to result from the need to replace workers who transfer to different occupations or exit the labor force, such as to retire.

Employment

Marketing managers will continue to be in demand as organizations use marketing campaigns to maintain and expand their market share. These managers will be sought after for their advice on crafting pricing strategies and finding new ways to reach customers.

The continued rise of electronic media will result in decreasing demand for print advertisements. However, the demand for advertising and promotions managers is expected to be concentrated in industries that rely on these workers to create digital media campaigns that target customers through the use of websites, social media, or live chats.

Occupational Title

SOC Code

Employment, 2022

Projected Employment, 2032

Change, 2022-32

Employment by Industry

Percent

Numeric

Advertising, promotions, and marketing managers

-

389,000

413,300

6

24,300

-

Advertising and promotions managers

11-2011

30,900

31,400

2

600
Get data

Marketing managers

11-2021

358,200

381,900

7

23,700
Get data

Occupational Employment and Wage Statistics (OEWS)

The Occupational Employment and Wage Statistics (OEWS) program produces employment and wage estimates annually for over 800 occupations. These estimates are available for the nation as a whole, for individual states, and for metropolitan and nonmetropolitan areas. The link(s) below go to OEWS data maps for employment and wages by state and area.

Projections Central

Occupational employment projections are developed for all states by Labor Market Information (LMI) or individual state Employment Projections offices. All state projections data are available at www.projectionscentral.org. Information on this site allows projected employment growth for an occupation to be compared among states or to be compared within one state. In addition, states may produce projections for areas; there are links to each state's websites where these data may be retrieved.

CareerOneStop

CareerOneStop includes hundreds of occupational profiles with data available by state and metro area. There are links in the left-hand side menu to compare occupational employment by state and occupational wages by local area or metro area. There is also a salary info tool to search for wages by zip code.

For more information about advertising managers, visit:

American Association of Advertising Agencies (4 A's)

For more information about marketing managers and certification, visit:

American Marketing Association (AMA)

O*NET
Advertising and Promotions Managers Marketing Managers

# data[].attributes.attachment_link.title
Advertising, Promotions, and Marketing Managers

# data[].attributes.attachment_link.description
Advertising, promotions, and marketing managers plan programs to generate interest in products or services.