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Society desperately needs an alternative web

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I see a society that is crumbling. The rampant technology is simultaneously capsizing industries that were previously the bread and butter of economic growth. The working man and woman have felt its effects as wages stagnate and employment opportunities remain fewer amidst a progressively automated economy. Increasing wage inequality and financial vulnerability have given rise to populism, and the domino effects are spreading.

People are angry. They demand fairness and are threatened by policies and outsiders that may endanger their livelihoods. This has caused a greater cultural and racial divide within and between nations. Technology has enabled this anger to spread, influence and manipulate at a much greater speed than ever before resulting in increasing polarization and a sweeping anxiety epidemic.

Globally, we are much more connected – this, to our detriment. We’ve witnessed both government and business leverage technology to spread disinformation for their gains. While regulators struggle to keep pace with these harms, the tech giants continue, unabated, to wield their influence and power to establish footprints that make both consumers and business increasingly dependent on their platforms and technology stacks. We cannot escape them, nor do we want to. Therein lays the concern…

This recent article, “The World is Choking on Data Pollution” offered a profound distillation of what we are witnessing today:

Progress has not been without a price. Like the factories of 200 years ago, digital advances have given rise to a pollution that is reducing the quality of our lives and the strength of our democracy… We are now face-to-face with a system embedded in every structure of our lives and institutions, shaping our society in ways that deeply impact our basic values.

Tim Berners Lee’s Intent for the World Wide Web has Run Off-Course:

Tim Berners Lee had this Pollyannaish view once upon a time that went like this: What if we could develop a web that was free to use for everyone and that would fuel creativity, connection, knowledge and optimism across the globe? He believed the internet to be a basic human right,

…That means guaranteeing affordable access for all, ensuring internet packets are delivered without commercial or political discrimination, and protecting the privacy and freedom of web users regardless of where they live.

Between 1989 and 1991, Tim Berners Lee led the development of the World Wide Web and unleashed the “language HTML (hypertext markup language) to create the webpages HTTP (used to create web pages), HTTP (HyperText Transfer Protocol), and URLs (Universal Resource Locators).”

The now ubiquitous WWW set a movement which has scaled tremendously, reinventing the way we do business, access and consume information, create connections and perpetuating an unrelenting mindset of innovation and optimism.

What has also transpired is a web of unbridled opportunism and exploitation, uncertainty and disparity. We see increasing pockets of silos and echo chambers fueled by anxiety, misplaced trust and confirmation bias. As the mainstream consumer lays witness to these intentions, we notice a growing marginalization that propels more to unplug from these communities and applications to safeguard their mental health. However, the addiction technology has produced cannot be easily remedied. In the meantime, people continue to suffer.

What has been most distressing are the effects of cyberbullying on our children. In 2016, The National Crime Prevention reported 43% of teens were subjects of cyberbullying, an increase of 11% from a decade prior. Some other numbing statistics:

  • “2017 Pediatric Academic Societies Meeting revealed the number of children admitted to hospitals for attempted suicide or expressing suicidal thoughts doubled between 2008 and 2015”
  • “Javelin Research finds that children who are bullied are 9 times more likely to be the victims of identity fraud as well.”
  • “Data from numerous studies also indicate that social media is now the favored medium for cyberbullies”

Big Tech: Too Big to Fail?

As the web evolved throughout the 90s we witnessed the emergence of hefty players like Google, Yahoo, Microsoft and later Facebook and Amazon. As Chris Dixon asserted:

During the second era of the internet, from the mid 2000s to the present, for-profit tech companies — most notably Google, Apple, Facebook, and Amazon (GAFA) — built software and services that rapidly outpaced the capabilities of open protocols. The explosive growth of smartphones accelerated this trend as mobile apps became the majority of internet use. Eventually users migrated from open services to these more sophisticated, centralized services. Even when users still accessed open protocols like the web, they would typically do so mediated by GAFA software and services.

Today, we appropriately apply a few acronyms to these giants: G-MAFIA (Google, Microsoft, Amazon, Facebook, IBM, Apple), or FAANG (Facebook, Apple, Amazon, Netflix, and Google) and now BAT (Baidu, Alibaba and Tencent). These players have created a progressively centralized internet that has limited competition and has stifled the growth of startups, which are more vulnerable to these tech giants. My discussion with a social network founder (who asked to remain nameless) spoke of one of the large platforms which continuously copied newly released features from their site, and they did so transparently because “they could.” He also witnessed a stall of user engagement and eventual churn. He was unable to compete effectively without the necessary resources and eventually relented, changing his business model and withdrawing to the cryptocurrency community to start anew.

Consider this: These eight players Facebook, Apple, Microsoft, Amazon, Google, Tencent, Baidu, and Alibaba are larger than the “market cap of every listed company in the Eurozone in Emerging Markets and in Japan.” G-MAFIA (excluding IBM) combined posted average returns in 2018 of 45% compared with 19% return among S&P500.  Now add the high degree of consolidation of the tech industry. Together FAANG has acquired 398 companies since 2007. The type of acquisitions has heightened interest from regulators and economists towards anti-trust regulation. Add to this list the highest-ever acquisition in history with IBM’s purchase of Red Hatat a reported $34 billion.

Big tech valuations continue to rise despite the sins illuminated by their technologies. There is this dichotomy that pits what’s good for consumers against what’s good for shareholders. We’ve derived some great experiences from these platforms, but we’ve also seen examples of invisible harms. However unintended, they surface as a result of the business mandate to prioritize user growth and engagement. These performance indicators are what drive employee performance and company objectives. When we think about the impact of big tech, their cloud environments and web hosting servers ensure our emails, our social presence, and our websites are available to everyone on the web. In essence, they control how the internet is run.

Amy Webb, Author of  “The Big Nine: How the Tech Titans and their Thinking Machines could Warp Humanity” refers not only to G-MAFIA but also BAT (the consortium that has led the charge in the highly controversial Social Credit system to create a trust value among its Chinese citizens). She writes:

We stop assuming that the G-MAFIA (Google, Apple, Facebook, IBM, and Amazon) can serve its DC and Wall Street masters equally and that the free markets and our entrepreneurial spirit will produce the best possible outcomes for AI and humanity

These Nine will shape the future of the internet, no doubt. Webb envisions several scenarios where China’s encroaching influence will enable an AGI to control the world much more pervasively than the Social Credit System, and where “democracy will end” in the United States. This is not implausible as we are already seeing signs of BAT’s increased fundingacross gaming, social media, fintech sectors, outpacing the US in investment.

Webb also foresees a future of stifling individual privacy where our personal information is locked in the operating systems of these tech giants, now functioning oligopolies, fueling a “digital caste system,” mimicking a familiar authoritarian system in China.

This future that Webb forecasts is conceivable. Today, beyond Cambridge Analytica and government’s alleged use of Facebook to manipulate voters and seed chaos, the damages, however divergent, are more pervasive and are more connected to one another than we realize. We have seen Amazon’s facial recognition technology used in law enforcement, which has been deemed ineffective and wrought of racial bias.

In the same vein, Buzzfeed reported the use of facial recognition being used in retail systems without the regard for user consent. We believed in Facebook’s initiative to safeguard our security through two-factor authentication, while they used our mobile numbers to target our behavior and weaken our privacy in the process. Both Facebook and Amazon have been known to have experimented with our data to manipulate our emotions. When Tiktok was fined $5.7 million for illegally collecting children’s data, it was only following the lead of its predecessors.

The biggest data breaches of all time have involved some of the largest tech companies like FB, Yahoo! and Uber as well as established corporations like Marriott and Equifax. The downstream effects are yet to be realized as this data is bought and sold on the dark web to the highest bidders. When 23andMe created the Personal Genome Service as an offer to connect people to their roots, it was, instead, exposed as “front for a massive information-gathering operation against an unwitting public.”

This epidemic continues. What is emerging are the hidden intentions behind the algorithms and technology that make it more difficult to trust our peers, our institutions and our government. While employees were up in arms because of Google’s “Dragonfly” censored search engine with China and its Project Maven’s drone surveillance program with DARPA, there exist very few mechanisms to stop these initiatives from taking flight without proper oversight. The tech community argues they are different than Big Pharma or Banking. Regulating them would strangle the internet.

Technology precedes regulation. This new world has created scenarios that are unaddressable under current laws. There is a prevailing legal threat unleashed through the GDPR, however, there are aspects of it that some argue that may indeed stifle innovation. However, it’s a start. In the meantime, we need to progress so systems and governance are in sync, and tech giants are held in check. This is not an easy task.

Who is responsible for the consequences of AI decisions? What mechanisms should be in place to ensure that the industry does not act in ways that go against the public interest? How can practitioners determine whether a system is appropriate for the task and whether it remains appropriate over time? These were the very questions we attempted to answer at the UK/Canada Symposium on Ethics and Artificial Intelligence. There are no clear answers today.

Back to Basics: Can we re-decentralize an increasingly centralized internet?

Here’s a thought! How do we move our increasingly digital world into a place where we all feel safe; where we control our data; where our needs and desires are met without dependence on any one or two institutions to give us that value? The decentralized web is a mindset and a belief in an alternative structure that can address some of the afflictions that have risen from data pollution. This fringe notion is slowly making its way back to mainstream:

A Web designed to resist attempts to centralize its architecture, services, or protocols [so] that no individual, state, or corporation can substantially control its use.

Is it possible to reverse the deterioration we are experiencing today? I spoke with individuals who are working actively within the values of the decentralized web and are building towards this panacea. Andrew Hill and Carson Farmer developed Textile.IO, a digital wallet for photos that are entirely controlled and owned by the user. Textile.io didn’t start out as a decentralized project. As Andrew recalls:

We started this project asking: what was the future of personal data going to look in the future? We didn’t like the answer at all. It seemed like the ubiquity of data with the speed of computing power and increasing complexity of algorithms would lead us to a state that wouldn’t be good for us: easily manipulated, easily tracked and personal lives easily invaded by third parties (government, individuals and companies)

Carson Farmer noted that GMAIL is fundamentally a better user experience because individuals didn’t need to run their own protocols or set up their own servers. This “natural” progression” to centralized technologies has served the Big Nine well.

Since then, it’s been this runaway because of the capitalist value behind data. They are building business models behind it and it will not go away overnight. By putting our blind trust into a handful of corporations who collect our data, we’ve created a run-away effect (some folks call it ‘data network effects’) where those companies now create value from our data, that is orders of magnitude greater than any new entrant into the market is capable of. This means that the ‘greatest’ innovation around our digital data is coming from only a handful of large companies.

However, people, en-masse, don’t understand this imminent threat. Few really understand the implications of cybersecurity breaches, nor the impact to individual welfare or safety from the data they willingly provide these networks. How much of this needs mainstream to care about it to achieve the scalability it requires? Hill argues that few will abandon technologies unless their values are subdued by risk. Hill explained our “signaled intentions actually differ from our intended behaviors.” For example, many would support legislation to reduced speed limits in certain areas to minimize deaths from auto accidents. However, engineering this feature into self-driving cars so they are unable to go faster, would be far more objectionable because it impedes us.

Adoption of a decentralized web cannot play by the old rules. New experiences and interactions that are outside of current norms needs to appeal to individual values, that enable trust and ease of adoption. Pulling users away from convention is not an easy task. However, emerging organizations are starting to build bridges into the old technology in an effort to re-decentralizeMatrix.org has created an open standard for decentralized communications. The Dat Project, largely funded mainly by donations provides a peer to peer file sharing protocol to create a more human-centered internet, without the risk of data being sold. For Textile.io their version of Instagram allows users to add a photo to their mobile application, which exists on your phone, with a privately encrypted copy existing on an IPFS (“a peer-to-peer protocol for sharing hypermedia in distributed file system”) node off your phone. No one sees the encrypted photo version unless you share the private keys to that photo. Textile has no view into the data, nor an intention of processing or keeping it. Handshake.org is a “permissionless and decentralized naming protocol to replace the DNS root file and servers with a public commons”, uncensorable and free of any gatekeeper. The Internet Archive, started by Brewster Kale, is a non-profit library that has cataloged over 400 billion web pages in the last 22 years, also digitizing all-things analog (books, music, movies), with the attempt to save web history and knowledge with free access to anyone.

Wendy Hanamura, Director of the Internet Archive is also the Founder of DWeb, a summit which started in 2016 bringing together builders and non-builders within the 4 levers of change: 1) laws 2) markets 3) norms and values 4) technology to advocate a better web. The intention was to do a moonshot for the internet and create “A web that’s locked open for good.” Why now? Wendy declared,

In the last few years we have woken up to see that the web is failing us. We turn to our screens for information we are getting, instead, deception in fake news, non reliable information, missing data. A lot of us in the sector feel we could do better. Technology is one path to doing better.

The prevailing vision of the Dweb:

A goal in creating a Decentralized Web is to reduce or eliminate such centralized points of control. That way, if any player drops out, the system still works. Such a system could better help protect user privacy, ensure reliable access, and even make it possible for users to buy and sell directly, without having to go through websites that now serve as middlemen, and collect user data in the process.

While it’s still early day, for at least a decade many players have chosen to become part of this movement to fix the issues that increasing centralization has created. From Diaspora to Bit Torrent, a growing list of technologies continue to develop alternatives for the DWeb: for storage, social nets, communication and collaboration apps, database, cryptocurrencies, etc. Carson sees the Dweb evolving and feels the time is ripe for this opportunity:

Decentralization gives us a new way forward: decentralized data storage, encryption based privacy, and P2P networks give us the tools to imagine a world where individuals own and control their personal data. In that future, all technologies can build and contribute to the same data network effect. That is exciting because it means we can create a world with explosive innovation and value generation from our data, as opposed to one limited by the production capacity and imagination of those few companies…

Can the decentralized web fix this? In a world where trust is fleeting, this may be a significant pathway forward but it’s still early day. The DWeb is reawakening. The emergence of its players sees tremendous promise however, the experiences will need to get better. Many things must work in tandem. The public needs to be more informed of the impact on their individual rights and welfare. Business needs to change its mindset. I was reminded by Dr. George Tomko, Expert in Residence at the University of Toronto, that if business can become more human, to be more compassionate

…and have the ability to feel a person’s pain or discomfort and to care enough by collaborating with others in alleviating her pain or discomfort… what emerges is a society of greater empathy, and a culture that yields more success

Regulation has to also be in lock-step with technology but it must be informed and well thought out to encourage competition and minimize costs to the consumer. More importantly, we must encourage more solutions to bring more data control to the user to give him/her the experiences they want out of the web, without fear of repercussions. This was the original promise of the internet.

This originally appeared on Forbes.

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How businesses can protect themselves from the rising threat of deepfakes

Dive into the world of deepfakes and explore the risks, strategies and insights to fortify your organization’s defences

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In Billy Joel’s latest video for the just-released song Turn the Lights Back On, it features him in several deepfakes, singing the tune as himself, but decades younger. The technology has advanced to the extent that it’s difficult to distinguish between that of a fake 30-year-old Joel, and the real 75-year-old today.

This is where tech is being used for good. But when it’s used with bad intent, it can spell disaster. In mid-February, a report showed a clerk at a Hong Kong multinational who was hoodwinked by a deepfake impersonating senior executives in a video, resulting in a $35 million theft.

Deepfake technology, a form of artificial intelligence (AI), is capable of creating highly realistic fake videos, images, or audio recordings. In just a few years, these digital manipulations have become so sophisticated that they can convincingly depict people saying or doing things that they never actually did. In little time, the tech will become readily available to the layperson, who’ll require few programming skills.

Legislators are taking note

In the US, the Federal Trade Commission proposed a ban on those who impersonate others using deepfakes — the greatest concern being how it can be used to fool consumers. The Feb. 16 ban further noted that an increasing number of complaints have been filed from “impersonation-based fraud.”

A Financial Post article outlined that Ontario’s information and privacy commissioner, Patricia Kosseim, says she feels “a sense of urgency” to act on artificial intelligence as the technology improves. “Malicious actors have found ways to synthetically mimic executive’s voices down to their exact tone and accent, duping employees into thinking their boss is asking them to transfer funds to a perpetrator’s account,” the report said. Ontario’s Trustworthy Artificial Intelligence Framework, for which she consults, aims to set guides on the public sector use of AI.

In a recent Microsoft blog, the company stated their plan is to work with the tech industry and government to foster a safer digital ecosystem and tackle the challenges posed by AI abuse collectively. The company also said it’s already taking preventative steps, such as “ongoing red team analysis, preemptive classifiers, the blocking of abusive prompts, automated testing, and rapid bans of users who abuse the system” as well as using watermarks and metadata.

That prevention will also include enhancing public understanding of the risks associated with deepfakes and how to distinguish between legitimate and manipulated content.

Cybercriminals are also using deepfakes to apply for remote jobs. The scam starts by posting fake job listings to collect information from the candidates, then uses deepfake video technology during remote interviews to steal data or unleash ransomware. More than 16,000 people reported that they were victims of this scam to the FBI in 2020. In the US, this kind of fraud has resulted in a loss of more than $3 billion USD. Where possible, they recommend job interviews should be in person to avoid these threats.

Catching fakes in the workplace

There are detector programs, but they’re not flawless. 

When engineers at the Canadian company Dessa first tested a deepfake detector that was built using Google’s synthetic videos, they found it failed more than 40% of the time. The Seattle Times noted that the problem in question was eventually fixed, and it comes down to the fact that “a detector is only as good as the data used to train it.” But, because the tech is advancing so rapidly, detection will require constant reinvention.

There are other detection services, often tracing blood flow in the face, or errant eye movements, but these might lose steam once the hackers figure out what sends up red flags.

“As deepfake technology becomes more widespread and accessible, it will become increasingly difficult to trust the authenticity of digital content,” noted Javed Khan, owner of Ontario-based marketing firm EMpression. He said a focus of the business is to monitor upcoming trends in tech and share the ideas in a simple way to entrepreneurs and small business owners.

To preempt deepfake problems in the workplace, he recommended regular training sessions for employees. A good starting point, he said, would be to test them on MIT’s eight ways the layperson can try to discern a deepfake on their own, ranging from unusual blinking, smooth skin, and lighting.

Businesses should proactively communicate through newsletters, social media posts, industry forums, and workshops, about the risks associated with deepfake manipulation, he told DX Journal, to “stay updated on emerging threats and best practices.”

To keep ahead of any possible attacks, he said companies should establish protocols for “responding swiftly” to potential deepfake attacks, including issuing public statements or corrective actions.

How can a deepfake attack impact business?

The potential to malign a company’s reputation with a single deepfake should not be underestimated.

“Deepfakes could be racist. It could be sexist. It doesn’t matter — by the time it gets known that it’s fake, the damage could be already done. And this is the problem,” said Alan Smithson, co-founder of Mississauga-based MetaVRse and investor at Your Director AI.

“Building a brand is hard, and then it can be destroyed in a second,” Smithson told DX Journal. “The technology is getting so good, so cheap, so fast, that the power of this is in everybody’s hands now.”

One of the possible solutions is for businesses to have a code word when communicating over video as a way to determine who’s real and who’s not. But Smithson cautioned that the word shouldn’t be shared around cell phones or computers because “we don’t know what devices are listening to us.”

He said governments and companies will need to employ blockchain or watermarks to identify fraudulent messages. “Otherwise, this is gonna get crazy,” he added, noting that Sora — the new AI text to video program — is “mind-blowingly good” and in another two years could be “indistinguishable from anything we create as humans.”

“Maybe the governments will step in and punish them harshly enough that it will just be so unreasonable to use these technologies for bad,” he continued. And yet, he lamented that many foreign actors in enemy countries would not be deterred by one country’s law. It’s one downside he said will always be a sticking point.

It would appear that for now, two defence mechanisms are the saving grace to the growing threat posed by deepfakes: legal and regulatory responses, and continuous vigilance and adaptation to mitigate risks. The question remains, however, whether safety will keep up with the speed of innovation.

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The new reality of how VR can change how we work

It’s not just for gaming — from saving lives to training remote staff, here’s how virtual reality is changing the game for businesses

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Until a few weeks ago, you might have thought that “virtual reality” and its cousin “augmented reality” were fads that had come and gone. At the peak of the last frenzy around the technology, the company formerly known as Facebook changed its name to Meta in 2021, as a sign of how determined founder Mark Zuckerberg was to create a VR “metaverse,” complete with cartoon avatars (who for some reason had no legs — they’ve got legs now, but there are some restrictions on how they work).

Meta has since spent more than $36 billion on metaverse research and development, but so far has relatively little to show for it. Meta has sold about 20 million of its Quest VR headsets so far, but according to some reports, not many people are spending a lot of time in the metaverse. And a lack of legs for your avatar probably isn’t the main reason. No doubt many were wondering: What are we supposed to be doing in here?

The evolution of virtual reality

Things changed fairly dramatically in June, however, when Apple demoed its Vision Pro headset, and then in early February when they were finally available for sale. At $3,499 US, the device is definitely not for the average consumer, but using it has changed the way some think about virtual reality, or the “metaverse,” or whatever we choose to call it.

Some of the enhancements that Apple has come up with for the VR headset experience have convinced Vision Pro true believers that we are either at or close to the same kind of inflection point that we saw after the release of the original iPhone in 2007.Others, however, aren’t so sure we are there yet.

The metaverse sounds like a place where you bump into giant dinosaur avatars or play virtual tennis, but ‘spatial computing’ puts the focus on using a VR headset to enhance what users already do on their computers. Some users generate multiple virtual screens that hang in the air in front of them, allowing them to walk around their homes or offices and always have their virtual desktop in front of them.

VR fans are excited about the prospect of watching a movie on what looks like a 100-foot-wide TV screen hanging in the air in front of them, or playing a video game. But what about work-related uses of a headset like the Vision Pro? 

Innovating health care with VR technology

One of the most obvious applications is in medicine, where doctors are already using remote viewing software to perform checkups or even operations. At Cambridge University, game designers and cancer researchers have teamed up to make it easier to see cancer cells and distinguish between different kinds.

Heads-up displays and other similar kinds of technology are already in use in aerospace engineering and other fields, because they allow workers to see a wiring diagram or schematic while working to repair it. VR headsets could make such tasks even easier, by making those diagrams or schematics even larger, and superimposing them on the real thing. The same kind of process could work for digital scans of a patient during an operation.

Using virtual reality, patients and doctors could also do remote consultations more easily, allowing patients to describe visually what is happening with them, and giving health professionals the ability to offer tips and direct recommendations in a visual way. 

This would not only help with providing care to people who live in remote areas, but could also help when there is a language barrier between doctor and patient. 

Impacting industry worldwide

One technology consulting firm writes that using a Vision Pro or other VR headset to streamline assembly and quality control in maintenance tasks. Overlaying diagrams, 3D models, and other digital information onto an object in real time could enable “more efficient and error-free assembly processes,” by providing visual cues, step-by-step guidance, and real-time feedback. 

In addition to these kinds of uses, virtual reality could also be used for remote onboarding for new staff in a variety of different roles, by allowing them to move around and practice training tasks in a virtual environment.

Some technology watchers believe that the retail industry could be transformed by virtual reality as well. Millions of consumers have become used to buying online, but some categories such as clothing and furniture have lagged, in part because it is difficult to tell what a piece of clothing might look like once you are wearing it, or what that chair will look like in your home. But VR promises the kind of immersive experience where that becomes possible.

While many consumers may see this technology only as an avenue for gaming and entertainment, it’s already being leveraged by businesses in manufacturing, health care and workforce development. Even in 2020, 91 per cent of businesses surveyed by TechRepublic either used or planned to adopt VR or AR technology — and as these technological advances continue, adoption is likely to keep ramping up.

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5 tips for brainstorming with ChatGPT

How to avoid inaccuracy and leverage the full creative reign of ChatGPT

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ChatGPT recruited a staggering 100 million users by January 2023. As software with one of the fastest-growing user bases, we imagine even higher numbers this year. 

It’s not hard to see why. 

Amazon sellers use it to optimize product listings that bring in more sales. Programmers use it to write code. Writers use it to get their creative juices flowing. 

And occasionally, a lawyer might use it to prepare a court filing, only to fail miserably when the judge notices numerous fake cases and citations. 

Which brings us to the fact that ChatGPT was never infallible. It’s best used as a brainstorming tool with a skeptical lens on every output. 

Here are five tips for how businesses can avoid inaccuracy and leverage the full creative reign of generative AI when brainstorming.

  1. Use it as a base

Hootsuite’s marketing VP Billy Jones talked about using ChatGPT as a jumping-off point for his marketing strategy. He shares an example of how he used it to create audience personas for his advertising tactics. 

Would he ask ChatGPT to create audience personas for Hootsuite’s products? Nope, that would present too many gaps where the platform could plug in false assumptions. Instead, Jones asks for demographic data on social media managers in the US — a request easy enough for ChatGPT to gather data on. From there he pairs the output with his own research to create audience personas. 

  1. Ask open-ended questions

You don’t need ChatGPT to tell you yes or no — even if you learn something new, that doesn’t really get your creative juices flowing. Consider the difference: 

  • Does history repeat itself? 
  • What are some examples of history repeating itself in politics in the last decade?

Open-ended questions give you much more opportunity to get inspired and ask questions you may not have thought of. 

  1. Edit your questions as you go

ChatGPT has a wealth of data at its virtual fingertips to examine and interpret before spitting out an answer. Meaning you can narrow down the data for a more focused response with multiple prompts that further tweak its answers. 

For example, you might ask ChatGPT about book recommendations for your book club. Once you get an answer, you could narrow it down by adding another requirement, like specific years of release, topic categories, or mentions by reputable reviewers. Adding context to what you’re looking for will give more nuanced answers.

  1. Gain inspiration from past success

Have an idea you’re unsure about? Ask ChatGPT about successes with a particular strategy or within a particular industry. 

The platform can scour through endless news releases, reports, statistics, and content to find you relatable cases all over the world. Adding the word “adapt” into a prompt can help utilize strategies that have worked in the past and apply them to your question. 

As an example, the prompt, “Adapt sales techniques to effectively navigate virtual selling environments,” can generate new solutions by pulling from how old problems were solved. 

  1. Trust, but verify

You wouldn’t publish the drawing board of a brainstorm session. Similarly, don’t take anything ChatGPT says as truth until you verify it with your own research. 

The University of Waterloo notes that blending curiosity and critical thinking with ChatGPT can help to think through ideas and new angles. But, once the brainstorming is done, it’s time to turn to real research for confirmation.

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