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Intelligence and creativity: a winning partnership?

- highlights from the 20th April discussion

Chat with SAS about on Twitter -- live convo starts in a couple hours!

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Welcome to - today we're talking ! Take a few minutes to introduce yourself and let us know what you do & where you are participating from today!

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Automation and have the potential to augment our abilities and make us better at what we do, so we're curious to see what you think about this question as we kick off today! Q1: How is AI impacting human creativity?

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Q1) Providing the tools to be more creative, for example, word processors created a whole new group of writers, has the ability to provide new tools -

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A1: It can free humans up from the mundane, from the calculations. It can identify an incredible number patterns of potential interest for us to further examine. It can show where a certain process leads to in the extreme.

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A1 A1 For long time computers have been seen as productivity and automation tools for repetitive tasks with advent we start seeing the impact and potential of collaborative augmented intelligence on decision making and hidden insights.

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A1 I think rather the opposite when AI are supporting automation of tedious work for us - and we can devote ourselves into better things being creative 😀

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A1: should take human creativity to another level. It would probably redefine creativity, whatever is possible through AI is no more human creativity...

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A1 As we've seen w/ Go, systems can show us new, unorthodox, "creative" ways of solving a problem.

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A1: I would have to turn that around. Human creativity impacts AI. Humans evolve over millions of years! The creativity is already there. We refine AI in more interesting ways as compute power grows.

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A1: An will never be Chief Innovation officer, but “a promising process for innovative problem solving is a human computer collaboration where each partner assists the other ...”. Very interesting paper on the subject:

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Some novel an interesting ways is augmenting human creativity using Neural Networks Read more here:

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I definitely want to echo . The automation enabled by AI potentially frees us up to focus on more visionary/creative activities.

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RT : A1: should take human creativity to another level. It would probably redefine creativity, whatever is possible through AI is no more human creativity...

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RT : A1 As we've seen w/ Go, systems can show us new, unorthodox, "creative" ways of solving a problem.

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RT : A1: An will never be Chief Innovation officer, but “a promising process for innovative problem solving is a human computer collaboration where each partner assists the other ...”. Very interesting paper on the subject:

A1: Yes - agree with and - Freeing us up from the mundane provides room for our creative abilities to flourish. This partly assumes, though, that we will have authority to point these AI capabilities at different challenges dynamically.

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Q1: I think is impacting human creativity by finding ways to address not only the complex, but also the mundane. If we can discover ways to tedious things, we can be more . Tedium and boredom are detrimental to creativity and .

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A1: Yes, certainly frees up time for us to use our human abilities like for instance & , where an AI many times struggle. Also since AI can give you a lot of insights that will most likely give you new ideas and trigger your creativity.

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A1: It can lead your thinking a step further with suggestions about songs you might like or ways to enhance a photo. Your own creativity can then start from a stage ahead and move further.

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AI shows impressive progress but I have yet to see a truly creative behavior from an AI in the sense that no rules are applied

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A1: and what used to be AI we don't consider AI anymore, like playing chess better than the best human players

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A1: AI apps have subtle effects on human creativity, already pervasive: for a friend's birthday, some online shopping for a gift, a custom card made with -- in both cases AI augments creative responses

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. asked this back in 2016 and many are still debating! Q2. What will it take for the public to fully trust ?

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I agree, is (usually) more enrichment than danger.

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A2 not sure public will trust , but rather the organisations demonstrating responsible use of it.

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A2a: Maybe two kinds of trust - “Trust this bridge won’t fall down”, and “Trust you”. Trust of the bridge type will likely come with experience, ubiquity and time. Trust of the second type is trusting motivations. This is going to be harder to achieve.

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True - the winning concept is definately when man and machine work together!

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A2b: Trusting motivations could be achieved by demonstrating the AI has no motivations. Or in cases where it acts as a middle-man trustee, like a lawyer or bank. But still, what about the corp/org behind it? You’ll trust the AI only if you already trust the organization.

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A1: it is like compare movies from 1960 to ones in 1990... think of Jurassic Park... earlier, imagine what can be achieved, now anything can be achieved, let us see what you can imagine...

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A1: as of a metaphor to getting rid of mundane tasks, like solving a Rubik's cube in .6 seconds

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A2 As with a lot of things in life, education is the key. The public needs to know what the true possibilities of AI are. Ignorance breeds fear.

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A2: It takes Fair, Accountable and Interpretable/Transparent#AI. That is key for the public to fully trust ...

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A1: do not deal with human creativity at all. can just automate certain human tasks but rather a few today like image recognition, decisioning based on classification, text analysis

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a2) I guess the public should be confirmed that AI is not about to remove their chance of making a decent life for themselves will remove a lot of jobs

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A1: looking at industry, in health care AI is extending the ability of doctors to perceive, e.g., for radiology. Getting inside that feedback loop for a professional's is another example of augmenting creativity

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A2 The public needs to see a steady drumbeat of good stories. Things that are working, things that are helping. We love to the negatives and often don't praise the positives.

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A2 - In one aspect, I think it will take some assurance that jobs won't be taken away by AI. So this will require widespread AI to enable work that appeals to everyone.

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A2 On some domains (curiously more in than in ) is already trusted : In a recent survey +50% of respondents age of 40+ were willing to undergo surgery with AI assistance

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A2: Transparency about when a communication is rather than human would help. Chatbots can feel weird. Is this really a person? People don't want to be put in a position to undertake the Turing test.

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A2: I believe that people will trust AI when they experience a well positioned AI solution. E.g. a support chat in a specific industry/company where AI actually has the ability and environment to succeed in the support function

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A2 Teach, inform and let people become aware of what AI can do and how – we can prevent this by enlightning the public - we have an obligation to do so!!

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but we'll know has reached full maturity when it refuses to classify any more 'cute' kitten images!

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A2 As AI evolves, there will continue to be distrust of recent innovation. Then people get used to things that were previously "creepy"; it becomes part of everyday life. CallerID was creepy, once-upon-a-time. So were targeted ads. OK, those still are creepy.

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A2 Efforts on model explainability (FATAI) should help as well. Understanding the black box may put our fears at ease?

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A2) and ethics should not be strangers. The public should expect to improve lives for ALL - not the many, and especially not the few

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A2: “When accuracy outpaces interpretability, human trust suffers, affecting business adoption, regulatory oversight, & model documentation" says & in this really nice, free ebook with

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Good point, it would be interesting to stand up a survey "Do you trust AI" next to the survey questions "Do you trust organizations X, Y, and Z"?

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A2: Or will it primarily *change* a lot of jobs? As new technology always has done. Else nobody should have a job 200 years after the industrial revolution?

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A2: Trust is earned and not usually automatically conferred. Customer-centered practices that are ethically informed will drive standards for trusting Article explains more:

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A2: Let's tell them what it WILL do - not what it can do... there's the will of the few controlling the engines to be truly ethical

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A2: will be trusted by the public if it is regulated and certified by independent organization based on interpretability and transparency

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Q2: trust is slippery; e.g., we can ask for model transparency and interpretation, which in general is good -- although almost no two verticals have the same definition for `interpretation`

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A2: As long as AI is driven in a scientist and/or developer's universe, it is difficult to identify with, for regular people. AI tend to be too academic - when an AI engine is spiced up with some low tech business rules and a meaningful user interface it gains trust

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A2 We have to be honest as to how we represent this technology to the public. These systems are often limited by the data they've seen. Biased decisions can easily creep in if we're not paying attention.

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A2 When is used for the good and beneficial for of the most trust can be obtained easily on the contrary when the effect is partisan and the benefit accelerates unfairness then it creates suspicion and mistrust

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For humans to truly trust which must strive to instill human values into the applications created

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A1: Right, but it depends on the application, right? A weather app for example, do we care how it's done as long as it's accurate? Like "How do planes fly?"

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A2 - Interesting because motivations makes us human, and understanding motivations can lead to trust or distrust. Perhaps, then if we trust in the numbers, we can trust in AI.

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. once asked, can computers be programmed to think creatively? We want to know want you think! Q3. Can computers be creative?

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There are many implications of the on-demand economy, & other technologies that are transforming the nature of work & the future shape of the world. Let's wrap up this with this: Q5. What are untapped opportunities of applied AI?

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A4 While I would argue we're still trying to figure out the exact applications that are transformational, I think that conversational assistants fueled by AI advancements in are awesome.

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A4 My close 2nd place (for selfish reason) favorite AI advancement is self-driving cars. (YOU DRIVE! I'm gonna take a NAP!)

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A5: I currently see the greatest potential for in the sector and patients are largely ready for this.

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Q5: Exploring Mars!

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how about being able to order a pizza or call a cab by just talking to a device the size of a coke can.

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A4: I think one of the biggest accomplishments of to date is that it's become a ubiquitous topic in most households. Listening to my kids "train" to better understand their voices so they can pose questions about weird topics and get good responses is cool.

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A5: I am very confident that AI one day will be able to identify people - like: Really identify people, not only by their biometrics but also by interviewing them and recognizing their thinking.. That would be a first at the Border Control

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A4: This is a nice example: "Mind-reading works out what music is playing in your head - this may restore communication for those paralyzed"

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A5 Many opportunities in : improve patient care and wellbeing mining digital medical records, accelerate illness diagnosis (speeding up innovative technologies), new drugs discovery and development, strengthen medical imaging diagnosis

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A5: Geospatial image analysis. Better speech recognition and better language translation. More robust margin-of-safety and failure-mode analysis. Complex time-series decomposition and analysis.

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A4 Biggest AI accomplishment is the accuracy with which can perform image classification, object detection, facial recognition and so forth. So many opportunities especially around and security.

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A5: I would say it is yet ‘unknown’...

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A4: In my little world, the biggest accomplishment to date is Siri apparently learning to understand how I pronounce my friend's name when I dictate a text to him while driving.

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A3) AI is singing with just Notes and Lyrics as inputs

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Now if these AIs encouraged family interaction... "Aladdin says get of those screens kids" - This gets back to inspiring trust in AI!

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A3: we're approaching a point nicknamed "The Intertwingularity", and example use of for LIGO, LSST, CERN, etc., shows what can happen for truly large scale scientific collab -- using these approaches, to leverage machine learning

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A5: We are producing tremendous amounts of unstructured data - it is estimated that 80 % of an organizations data is unstructured. A lot of that data is not used for . There is a great untapped potential using more and more of this data in applications.

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A5: I don't think the art and politics is an area where could play a role because it is linked to human changes

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A5 As someone who works for an analytics company, I'm really excited by the possibilities of conversational assistants tapping into analytics thus making answers accessible to more people.

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A5 this has just started - there are tons of new applications and opportunities out there - makes me happy just thinking about it - excited!! 😀👍

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A5: There is so much opportunity for to be used in response and other areas. We can analyze the data faster, find patterns faster, and deploy faster. We could save more lives and improve the lives of so many people.

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You are on a roll today, . And I bet we could get some pretty decent AI haikus going... computers would be great at putting 5-7-5 syllables together. Then people could help tune the results a bit. A perfect collaboration!

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I believe they can go simultaneously. Scaring people from using those tools can delay things. As you said, this area is moving very fast. One reason is there are so many people are working actively in this area. It is very recent that people started to focus on .

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Q4: biggest accomplishment to date for AI ? I'd point to automated machine translation of human language, e.g. Google Translate. Few things are more "creative" or complex than human language. Also, consider long-term outcomes for that work on software engineering ...

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