Paul Daugherty

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Paul Daugherty

Paul Daugherty

@pauldaugh

Chief Technology & Innovation Officer @ Accenture. Author “Human + Machine: Reimagining Work in the Age of AI”. Views, opinions my own.

New York Katılım Temmuz 2010
417 Takip Edilen28.4K Takipçiler
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Paul Daugherty
Paul Daugherty@pauldaugh·
Human + Machine hits the shelves (digital and stores) today! Thanks to all for the support on bringing the H+M vision to life. Extending our offer to send a signed copy to those of you who buy and post a review on Amazon or your book site of choice (dm me for details). @hjameswilson
Harvard Business Review@HarvardBiz

AI — including generative AI — is radically transforming business. Are you ready? Accenture technology leaders @pauldaugh and @hjameswilson are here to help you meet the challenge. Their updated and expanded book, filled with crucial insights and advice, is available now. bit.ly/4egynfs

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Sam Altman
Sam Altman@sama·
deepseek's r1 is an impressive model, particularly around what they're able to deliver for the price. we will obviously deliver much better models and also it's legit invigorating to have a new competitor! we will pull up some releases.
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Paul Daugherty
Paul Daugherty@pauldaugh·
Had fun writing this new article on AI-Driven Process Design with @hjameswilson in @HarvardBiz. Agentic AI isn't just a cool/innovative technology thing, it will bring about the biggest ever change in how people and organizations work, as processes are rewired for a new level of human + machine productivity, creativity. And the hook is that techniques like Kaizen can inform the path. Read on for more . . .hbr.org/2025/01/the-se…
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Erik Brynjolfsson
Erik Brynjolfsson@erikbryn·
Microsoft's President Brad Smith warned of foreign interference in the US election. “The most perilous moment will come, I think, 48 hours before the election,” Smith told the Senate Intelligence Committee. Don't fall for it and don't amplify it. livemint.com/news/us-news/u…
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Paul Daugherty
Paul Daugherty@pauldaugh·
Signing and sending first set of books. Listen below for 60 second summary on what you need to know about Human + Machine, how AI is reinventing business and revolutionizing the way we work. (and here is link to order a.co/d/44l3otx)
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Paul Daugherty
Paul Daugherty@pauldaugh·
After 38 years, 5+ million air miles, 997 time reports, 1000's of clients across 6 of the 7 continents, and (at least) 4 major generations of technology . . . today is my LAST day as an @Accenture employee! (Would you have hired this nerdy guy in 1986 😉 ). What an AMAZING period to be part of. First code I shipped (1986) was Cobol IMS DB/DC on an IBM S/370. Then on to PL/1, LISP, Eiffel, Smalltalk, C++, ObjectiveC, C#, Java, Javascript, Python . . . And as a nice career bookend (pardon the pun) a new edition of my Human + Machine book comes out on Sept 10, and Jim and I have our latest article featured on this month's cover of Harvard Business Review (first time for us). There's never been a more fun time to be in tech . . . keep it rockin', keep inventing the future, keep in touch!
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Paul Daugherty
Paul Daugherty@pauldaugh·
Preorder: Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI a.co/d/iVnPKw9
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Paul Daugherty
Paul Daugherty@pauldaugh·
“On the cover of HBR . . .” To paraphrase Dr. Hook, @hjameswilson and I are pleased that our latest article, “Embracing Gen AI at Work, is featured on cover of Harvard Business Review mag. We explore how #AI will transform over 40% of work activities and the three crucial “fusion skills” to get the most out of #genAI. And ICYMI, a new/expanded genAI edition of our Human + Machine book is coming September, which the article is drawn from (link in comments). #HplusM lnkd.in/dRfFPjiu
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Andrew Ng
Andrew Ng@AndrewYNg·
I’m encouraged at the progress of the U.S. government at moving to stem harmful AI applications. Two examples are the new Federal Trade Commission (FTC) ban on fake product reviews and the DEFIANCE Act, which imposes punishments for creating and disseminating non-consensual deepfake porn. Both rules take a sensible approach to regulating AI insofar as they target harmful applications rather than general-purpose AI technology. The best way to ensure AI safety is to regulate it at the application level rather than the technology level. This is important because the technology is general-purpose and its builders (such as a developer who releases an open-weights foundation model) cannot control how someone else might use it. If, however, someone applies AI in a nefarious way, we should stop that application. Even before generative AI, fake reviews were a problem on many websites, and many tech companies dedicate considerable resources to combating them. A telltale sign of old-school fake reviews is the use of similar wording in different reviews. AI’s ability to automatically paraphrase or rewrite is making fake reviews harder to detect. Importantly, the FTC is not going after the makers of foundation models for fake reviews. The provider of an open weights AI model, after all, can’t control what someone else uses it for. Even if one were to try to train a model to put up guardrails against writing reviews, I don’t know how it could distinguish between a real user of a product asking for help writing a legitimate review and a spammer who wanted a fake review. The FTC appropriately aims to ban the application of fake reviews along with other deceptive practices such as buying positive reviews. The DEFIANCE Act, which passed unanimously in the Senate (and still requires passage in the House of Representatives before the President can sign it into law) imposes civil penalties for the creating and distributing non-consensual, deepfake porn. This disgusting application is harming many people including underage girls. While many image generation models do have guardrails against generating porn, these guardrails often can be circumvented via jailbreak prompts or fine-tuning (for models with open weights). Again, DEFIANCE regulates an application, not the underlying technology. It aims to punish people who engage in the application of creating and distributing non-consensual intimate images, regardless of how they are generated — whether the perpetrator uses a diffusion model, a generative adversarial network, or Microsoft Paint to create an image pixel by pixel. I hope DEFIANCE passes in the House and gets signed into law. Both rules guard against harmful AI applications without stifling AI technology itself (unlike California’s poorly designed SB-1047), and they offer a good model for how the U.S. and other nations can protect citizens against other potentially harmful applications. [Original text (with links): deeplearning.ai/the-batch/issu… ]
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Paul Daugherty
Paul Daugherty@pauldaugh·
Coming Soon: NEW edition of “Human + Machine: Reimagining Work in the Age of AI”, LOTS of updates for GenAI, Agentic, and more. Coined the H+M phrase in 2018, along with the “missing middle” of collaboration between Humans and Machines (AI) that will unlock the next wave of human potential. (Pre)Order yours now, LOTS of new info: a.co/d/ekBtaeB. And if you do a review after you purchase (on Amazon or your favorite site) I’ll send you a signed copy and you can give the copy you bought to a friend. @hjameswilson
Paul Daugherty tweet mediaPaul Daugherty tweet media
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Paul Daugherty
Paul Daugherty@pauldaugh·
Now that #AI can code, learning to code is more important than ever (and AI is here to help).  See guidance for CS classrooms: teachai.org/cs. Let's #TeachAI
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