Why People and AI Make Good Business Partners | Shervin Khodabandeh | TED
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Why People and AI Make Good Business Partners | Shervin Khodabandeh | TED

TED 22.05.2022 55 548 просмотров 1 218 лайков обн. 18.02.2026
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What happens when the data-driven capabilities of AI are combined with human creativity and ingenuity? Shining a light on the opportunities this futuristic collaboration could bring to the workplace, AI expert Shervin Khodabandeh shares how to redesign companies so that people and machines can learn from each other. If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: http://ted.com/membership Follow TED! Twitter: http://twitter.com/TEDTalks Instagram: https://www.instagram.com/ted Facebook: http://facebook.com/TED LinkedIn: https://www.linkedin.com/company/ted-conferences TikTok: https://www.tiktok.com/@tedtoks The TED Talks channel features talks, performances and original series from the world's leading thinkers and doers. Subscribe to our channel for videos on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Visit http://TED.com to get our entire library of TED Talks, transcripts, translations, personalized talk recommendations and more. Watch more: https://go.ted.com/shervinkhodabandeh https://youtu.be/1yQYySYN2io TED's videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International) and in accordance with our TED Talks Usage Policy (https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy). For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at https://media-requests.ted.com

Оглавление (11 сегментов)

  1. 0:00 Intro 20 сл.
  2. 0:12 The secret 177 сл.
  3. 1:24 The chess analogy 202 сл.
  4. 2:45 Human AI examples 187 сл.
  5. 3:55 Pharmacist example 77 сл.
  6. 4:27 Feedback loop 66 сл.
  7. 4:50 AI builds intelligence 312 сл.
  8. 6:49 Human AI feedback loop 245 сл.
  9. 8:25 Winning companies know this 43 сл.
  10. 8:43 They dont just throw technology 112 сл.
  11. 9:29 Conclusion 154 сл.
0:00

Intro

i've been working in ai for most of my career helping companies build artificial intelligence capabilities to improve their business
0:12

The secret

which is why i think what i'm about to tell you is quite shocking every year thousands of companies across the world spend collectively tens of billions of dollars to build ai capabilities but according to research my colleagues and i have done only about 10 percent of these companies get any meaningful financial impact from their investments these 10 winners with ai have a secret and their secret is not about fancy algorithms or sophisticated technology it's something far more basic it's how they get their people and ai to work together not against each other not instead of each other together in a mutually beneficial relationship unfortunately when most people think about ai they think about the most extreme cases that ai is here only to replace us or overtake our intelligence and make us unnecessary but what i'm saying is that we don't seem to quite appreciate the huge opportunity that exists in the middle ground where humans and ai come together to achieve outcomes that neither one could do alone on their own
1:24

The chess analogy

consider the game of chess you probably knew that ai today can beat any human grandmaster but did you know that the combination of a human chess player and ai can beat not only any human but also any machine the combination is much more powerful than the sum of its parts in a perfect combination ai will do what it does best which is dealing with massive amounts of data and solving complex problems and humans do what we do best using our creativity our judgment our empathy our ethics and our ability to compromise for several years my colleagues and i have studied and worked with hundreds of winning companies who are successfully building these human ai relationships and what we've seen is quite interesting first of all these companies get five times more financial value than companies who use ai only to replace people most importantly they have a happier workforce their employees are more proud more fulfilled they collaborate better with each other and they're more effective five times more value and a happier workforce so the question is how do these companies do it how do they achieve these symbiotic human ai relationships i have some answers
2:45

Human AI examples

first of all they don't think of ai in the most extreme case only to replace humans instead they look deep inside their organizations and at the various roles their people play and they ask how can ai make our people more fulfilled more effective more amplified let me give you an example humana is a healthcare company here in the us it has pharmacy call centers where pharmacists work with patients over the phone it's a job that requires a fair amount of empathy and humanity humana has developed an ai system that listens to the pharmacist conversation and picks up emotional and tone signals and then gives real-time suggestions to the pharmacist on how to improve the quality of that conversation for example it might say slow down or pause or hey consider how the other person is feeling right now all to improve the quality of that conversation i'm pretty sure my wife would buy me one of these if she could uh just to help me in some of my conversations with her turns out the pharmacists like it quite a lot too
3:55

Pharmacist example

they're more effective in their jobs but they also learn something about themselves their own behaviors and biases result has been more effective pharmacists and much higher customer satisfaction scores now this is just one example of many possibilities where human ai collaborates in this example ai was a recommender it didn't replace the human or make any decisions of its own it simply made suggestions and it was up to the person to decide and act
4:27

Feedback loop

and at the heart of it is a feedback loop which by the way is very critical for any human ai relationship by that i mean that in this example first i had to learn from humans the qualities that would make up a good or not so good conversation and then over time as ai builds more intelligence it would be able to make suggestions
4:50

AI builds intelligence

suggestions but it would be up to the person to decide and act and if they didn't agree with the recommendation because it might have not made sense to them they didn't have to in which case ai might learn something and adapt for the future it's basically open frequent two-way communication like any couples therapist will tell you is very important for any good relationship now the key word here is relationship think about your own personal relationships with other people you don't have the same kind of relationship with your accountant or your boss or your spouse do you well i certainly hope not and just like that the right relationship between human and ai in a company is not a one-size-fits-all so in the case of humana ai was a recommender and human was decision maker and actor in some other examples ai might be an evaluator where human comes up with ideas or scenarios and ai evaluates the complex implications and trade-offs of those ideas and makes it easy for humans to decide the best course of action in some other examples i might take a more creative role it could be an illuminator where it can take a complex problem and come up with potential solutions to that problem and illuminate some options that might have been impossible for humans to see let me give you another example during the covet pandemic if you walked into a retail or grocery store you saw that many retailers were struggling their shelves were empty their suppliers were not able to fulfill the orders and with all the uncertainties of the pandemic they simply had no idea how many people would be walking into what stores demanding what products now to put this in perspective this is a problem that's already quite hard when things are normal retailers have to
6:49

Human AI feedback loop

predict demand for tens of thousands of products across thousands of locations and thousands of suppliers every day to manage and optimize their inventory add to that the uncertainties of covid and the global supply chain disruptions and this became a hundred times more difficult and many retailers were simply paralyzed but there were a few who had built strong foundations with ai and the human ai feedback loop that we talked about and these guys were able to navigate all this uncertainty much better than others they used ai to analyze tens of billions of data points on consumer behavior and global supply chain disruptions and local government closures and mandates and traffic on highways and ocean freight lanes and many other factors and get a pretty good handle on what consumers in each unique area wanted the most what would have been feasible and for items that were not available what substitutions could be made but ai alone without the human touch wouldn't work either there were ethical and economic tradeoffs that had to be considered for example deciding to bring in a product that didn't have a good margin for the retailer but would really help support the local community at their time of need after all a i couldn't quite understand the uniquely human behavior of panic buying toilet vapor or tens of gallons of liquor only to be used as hand sanitizer it was the combination that was the key
8:25

Winning companies know this

and the winning companies know this they also know that inside their companies there's literally hundreds of these opportunities for human ai combination and they actively identify and pursue them they think of ai as much more broadly a means to replace people
8:43

They dont just throw technology

they look inside their organizations and reimagine how the biggest challenges and opportunities of their company can be addressed by the combination of human and ai and they put in place the right combination for each unique situation whether it's the recommender or the evaluator or the illuminator or optimizer or many other ones they build and evolve the feedback loops that we talked about and finally and most importantly they don't just throw technology at it in fact this has been the biggest pitfall of companies who don't get their return from their ai investments if they over invest in technology expecting a piece of tech to solve all their problems
9:29

Conclusion

problems but there is no silver bullet technology and automation can only go so far and for every one automation opportunity inside a company there's literally 10 for collaboration but collaboration's hard it requires a new mindset and doing things differently than how we've always done it and the winning companies know this too which is why they don't just invest in technology but so much more on human factors on their people on training and reskilling and reimagining how their people and ai work together in new ways inside these companies it's not just machines replacing humans it's machines and humans working together learning from each other and when that happens the organization's overall rate of learning increases which in turn makes the company much more agile much more resilient ready to adapt and take on any challenge it is the human touch that will bring the best out of ai thank you

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