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Thanks for the visibility, James! I’m excited to hear what people are really experiencing with AI in marketing and how it’s changing how we work. 👀

​@James - the Ethical concerns. The data privacy and security concerns/guardrails are not in place. Algorithmic bias, lack of transparency, etc. 

des

​@MegClancy yeah, for sure! I can’t wait to see the report, will be great to hear what marketers really think about AI adoption. I’m predicting a few surprises :P

​@john.desborough 100% agreed. I get the impression larger corporations taking AI data privacy concerns more seriously but wonder how closely startups and smaller ventures are observing best practices (or even know where to start in terms of surfacing and applying best practices). 

​@James  - i will take it ever further:

• A farmer fears AI will automate away traditional farming. But an agtech CEO fears AI won't modernize agriculture fast enough to feed 10 billion people.

• A Bangladeshi garment worker needs AI to stay out of textile manufacturing. But a fashion industry CEO needs AI to automate every garment factory to stay competitive.

• A privacy advocate needs AI to delete all personal data. But a surveillance state director needs AI to retain all personal data.

• A single mother in Detroit needs AI to help without moral judgment. But an Iranian cleric needs AI to assist her with moral judgment in every interaction.

• A climate activist needs AI to halt economic growth. But a developing nation economist needs AI to maximize economic growth.

• An Amazonian elder needs AI to stay out of indigenous lands. But a tech evangelist needs AI to reach every corner of Earth.

The reason why these people have diametrically opposed definitions of what “safety” means is because they all have different values, inspired by different upbringing, and where they are in life leading to different scale and scope of perspective.

They can’t see each other’s perspective because they are not living each other’s lives.

These aren't just different preferences, but completely different realities entirely.

And that, to me, is where the ‘ethics’ really come into play..

(… i think the 5th coffee may have been overkill … nah!)

des

Loving the effects the 5th coffee had on your brain ​@john.desborough ,feel you’re about two cups away from figuring this whole thing out haha.

Seriously, this is a really interesting perspective and one that I’d not really toyed with. With your observations in mind and thinking specifically about tech companies, I wonder how this then impacts the marketer of an AI tool – or a tech product with AI functionality? It certainly becomes really interesting if you’re building and marketing an AI tool that could serve both diametrically-opposed audience “ultimate” needs. I wonder if because of these polarized needs the market will dictate that tools/brands need to focus on one or the other (e.g. small biz v enterprise) versus having tiered solutions (as is the case with most successful SaaS platforms now). Will marketers and certain tech AI/companies in these companies be forced to leave their morals/ethics at the door to be able to serve opposed audiences? It’s hurting my brain/conscience a bit!

 

Je veux comprendre davantage sur l'IA .

​@James  - i think it all goes back to defining the ‘outcomes in their target demographic’ the marketer of the tech solution wants to achieve. Once those are defined, the marketer can use AI to research and examine the drivers/needs for a solution to problem(s) facing the target, determine starting point for interactive content for mass-personalization, and refine the content and nurture the user towards the desired outcome based on user interaction/response. 

based on the interactions, the AI tooling should be able to ‘redirect the object in motion’ to the appropriate tiering of offers and then, assuming subscription/sale, continue the consumption sequences to encourage the user to try different parts of the tooling to which they have access but may not have used. this should improve uptake. 

normal distribution would come into play - yes there are diametrically opposed groupings BUT the vast majority of the user population is in the middle, especially in terms of usage of features and use cases.. i think the outcome-oriented approach will address the extreme ends but also help to optimize the tools usage by those in the middle and,  supporting the growth of corporate revenue and profit

</end rant>

des