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AI Tools Bug Out Because the Internet Can Never Forget

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AI Tools Bug Out Because the Internet Can Never Forget

The internet never forgets.

That famous meme dates to at least the early 2000s. The digital internet acts as a more permanent version of what philosopher and sociologist Maurice Halbwachs deemed as the “collective memory” in his book of the same name almost 100 years ago. He concludes societies have a collective memory that depends on the framework within which they exist.

Put simply: In groups, both individual and group memories exist. I experience this when a group of my childhood friends remembers me doing things I haven’t the foggiest recollection of doing.

For better and worse, the internet has become society’s collective memory. Unlike a disagreement between friends arising over whose memory is more fallible, the internet doesn’t forget.

For better and worse, the internet has become society’s collective memory, says @Robert_Rose via @CMIContent. Click To Tweet

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Over the years, this collective photographic memory has presented interesting challenges for society. Young people recording their – let’s just call it formative – behavior and opinions on social media experience greater challenges than those who did similar things in their youth without the ability to make them part of the collective memory of the internet. The same is true for post-internet companies. People can retrieve almost every word of anything the brand’s ever said in a press release or digital marketing and communications channel.

For example, if you asked me last week if I’d ever given an interview on Fox News, I would laugh and say “no.” But in writing this article, I used the Internet Archive to review a website I wrote in 1998. A press release (that I authored) was right there, highlighting my appearance on a local Fox News TV affiliate talking about this new thing called the “world wide web” and how I believed families, individuals, and companies would build websites in the future.

I forgot all about that interview, but the internet did not.

Photographic memory is a bug, not a feature

In my last weekly CMI News video, I covered the launch of Microsoft’s integration of OpenAI’s ChatGPT into web search. In that story, I also talked about Google’s attempt at newsjacking Microsoft’s announcement and its resulting very bad day.

Google’s bad day stemmed from the AI chatbot returning an inaccurate “fact” that the James Webb Telescope took the first picture of exoplanets (those that lie outside our solar system). In fact, the first telescope to photograph exoplanets did so in 2004.

Did the internet have that information? Yes, of course, it did. Did the internet forget? No.

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The internet remembered perfectly. Its memories, though, are inaccurate. Most of the popular search engines (including Google and Bing) returned results with the Webb-did-it-first answer as hundreds of articles from media outlets repeated the same inaccurate conclusion.

The mistake seems to have originated from a NASA release that opened, “For the first time, astronomers have used NASA’s James Webb Space Telescope to take a direct image of a planet outside our solar system.”  Say what you will structurally about that sentence – the end result led all those media companies to run with one distinct interpretation of the “fact” – that it was the first time exoplanets had been photographed.

The thing is, when NASA distributed the release in September 2022, almost no one cared about the erroneous interpretation of the sentence. (A few articles contained comments to correct the record or detail the event more precisely.) The internet stored the results in its memory. When an artificial intelligence tool used collective memory to answer a question about the James Webb Space Telescope, it dutifully remembered. Perfectly.

@Google’s Bard AI mistake on the Webb telescope discovery was built on an erroneous interpretation made repeatedly by media five months earlier on the internet, says @Robert_Rose via @CMIContent. Click To Tweet

The internet is our collective memory. The more of us who remember inaccurately, the more likely the collective will do the same.

Forgetfulness is a feature, not a bug

Scientists have long shown the human trait of forgetfulness is a good thing. It helps people prioritize, think better, make better decisions, and be more creative. Human “memory” is not designed to retrieve facts from a database but to help people retain what is valuable to make intelligent decisions. Your brain isn’t broken when you forget something. It often purposely disregards the information to let you focus on retaining more important information, simplifying a concept, or allowing you to find new information about what you already believe you understand.

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Think about when you watched a movie for the second time and forgot how great it was or saw it in a new way. Or think about when you say to someone, “What you’re saying doesn’t sound right, but I forget why,” and look up something you feel you should already know.

Humans have the ability to forget irrelevant information. Now, your brains aren’t the perfect judge of what’s irrelevant. Sometimes, they wrongly judge what information is irrelevant. When I forgot something at the grocery store after my wife explicitly asked for it, my brain either decided the request was irrelevant information or it made room for something else (like what I was going to write about for my weekly article). Believe me when I say my juicy rationalization for my forgetfulness is the latter, not the former.

Overall, the flaws in AI – and specifically generative content at this point in its development – demonstrate why forgetfulness can be a feature and one to incorporate into your process. AI designers have their work cut out for them to design systems that can forget and “not know” things so that they can reframe AI learning to understand what information is relevant and irrelevant.

Don’t forget to forget your content

As marketing and communication practitioners, you have your collective memory challenges. Don’t forget your repository of digital content acts like the internet. It, too, never forgets.

AI tools can present an attractive opportunity to learn from your website, digital asset management system, measurement data, CRM platform, etc. One marketing director told me recently they turned an AI chatbot loose on 128,000 documents collected over the years to learn how to suggest and create new content and insights for the marketing team.

That’s a wonderful experiment, but don’t forget (pun intended) that just because you created it, the information can still be inaccurate, irrelevant, or something the brand would rather forget. As you deploy AI-oriented tools, be more mindful of these two things:

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1. Remember you are the AI

An AI-based tool predicts a content topic won’t work because of how poorly it performed in the past. The AI dutifully recalls every image, word, and punctuation of the content campaign you long forgot. It remembers how poorly it all turned out.

The AI tool returns answers based on that collective memory. However, while the memory isn’t wrong, you may have been. It’s possible that just like the reporters that misread the NASA release and created hundreds of articles with an inaccurate description, you’ve created tons of messaging, content, analysis, and measurement data based on something just as inaccurate. (The same thinking applies when the AI tool suggests content topics based on positive performances.)

Just because the machine learned correctly doesn’t mean it learned something correct.

2. Remember why people forget things

People forget things to allow room to focus on what’s important. That’s not because they can’t “fit” more information inside their brains; it’s because people’s memories are meant to help them focus on the information that they believe is most important and make better choices.

AI can help develop content based on learning from a perfect collective memory of everything created. But sometimes, forgetting details allows people to see a new forest. Sometimes it’s because you forgot why you loved that old content so much that you could see something familiar in a new way.

If you put all your trust in the photographic memory to write content or suggest creative based mostly on irrelevant or (worse) inaccurate information, you can bet it will always be accurate to what you remembered but never benefit from what you’ve forgotten.

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Don’t forget this

Remember, everything relevant is always worth remembering, but remembering everything isn’t always relevant.

Sometimes having some memory loss can be a good thing in making better creative decisions.

It’s your story. Tell it well.

Get Robert’s take on content marketing industry news in just five minutes:

https://www.youtube.com/watch?v=videoseries

Watch previous episodes or read the lightly edited transcripts.

Subscribe to workday or weekly CMI emails to get Rose-Colored Glasses in your inbox each week. 

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Cover image by Joseph Kalinowski/Content Marketing Institute



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Trends in Content Localization – Moz

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Trends in Content Localization - Moz

Multinational fast food chains are one of the best-known examples of recognizing that product menus may sometimes have to change significantly to serve distinct audiences. The above video is just a short run-through of the same business selling smokehouse burgers, kofta, paneer, and rice bowls in an effort to appeal to people in a variety of places. I can’t personally judge the validity of these representations, but what I can see is that, in such cases, you don’t merely localize your content but the products on which your content is founded.

Sometimes, even the branding of businesses is different around the world; what we call Burger King in America is Hungry Jack’s in Australia, Lays potato chips here are Sabritas in Mexico, and DiGiorno frozen pizza is familiar in the US, but Canada knows it as Delissio.

Tales of product tailoring failures often become famous, likely because some of them may seem humorous from a distance, but cultural sensitivity should always be taken seriously. If a brand you are marketing is on its way to becoming a large global seller, the best insurance against reputation damage and revenue loss as a result of cultural insensitivity is to employ regional and cultural experts whose first-hand and lived experiences can steward the organization in acting with awareness and respect.

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How AI Is Redefining Startup GTM Strategy

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How AI Is Redefining Startup GTM Strategy

AI and startups? It just makes sense.

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More promotions and more layoffs

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More promotions and more layoffs

For martech professionals salaries are good and promotions are coming faster, unfortunately, layoffs are coming faster, too. That’s according to the just-released 2024 Martech Salary and Career Survey. Another very unfortunate finding: The median salary of women below the C-suite level is 35% less than what men earn.

The last year saw many different economic trends, some at odds with each other. Although unemployment remained very low overall and the economy grew, some businesses — especially those in technology and media — cut both jobs and spending. Reasons cited for the cuts include during the early years of the pandemic, higher interest rates and corporate greed.

Dig deeper: How to overcome marketing budget cuts and hiring freezes

Be that as it may, for the employed it remains a good time to be a martech professional. Salaries remain lucrative compared to many other professions, with an overall median salary of $128,643. 

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Here are the median salaries by role:

  • Senior management $199,653
  • Director $157,776
  • Manager $99,510
  • Staff $89,126

Senior managers make more than twice what staff make. Directors and up had a $163,395 median salary compared to manager/staff roles, where the median was $94,818.

One-third of those surveyed said they were promoted in the last 12 months, a finding that was nearly equal among director+ (32%) and managers and staff (30%). 

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Extend the time frame to two years, and nearly three-quarters of director+ respondents say they received a promotion, while the same can be said for two-thirds of manager and staff respondents.

Dig deeper: Skills-based hiring for modern marketing teams

Employee turnover 

In 2023, we asked survey respondents if they noticed an increase in employee churn and whether they would classify that churn as a “moderate” or “significant” increase. For 2024, given the attention on cost reductions and layoffs, we asked if the churn they witnessed was “voluntary” (e.g., people leaving for another role) or “involuntary” (e.g., a layoff or dismissal). More than half of the marketing technology professionals said churn increased in the last year. Nearly one-third classified most of the churn as “involuntary.”

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Men and Women

Screenshot 2024 03 21 124540Screenshot 2024 03 21 124540

This year, instead of using average salary figures, we used the median figures to lessen the impact of outliers in the salary data. As a result, the gap between salaries for men and women is even more glaring than it was previously.

In last year’s report, men earned an average of 24% more than women. This year the median salary of men is 35% more than the median salary of women. That is until you get to the upper echelons. Women at director and up earned 5% more than men.

Methodology

The 2024 MarTech Salary and Career Survey is a joint project of MarTech.org and chiefmartec.com. We surveyed 305 marketers between December 2023 and February 2024; 297 of those provided salary information. Nearly 63% (191) of respondents live in North America; 16% (50) live in Western Europe. The conclusions in this report are limited to responses from those individuals only. Other regions were excluded due to the limited number of respondents. 

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Download your copy of the 2024 MarTech Salary and Career Survey here. No registration is required.

Get MarTech! Daily. Free. In your inbox.

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