Blurring the lines
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The document discusses the evolution of language and communication technologies towards more natural interfaces using chat/text. Key points include: - Chat/text provides a low cognitive load interface that is well-suited for quick communications between humans, humans and machines, and machines. - Examples of human-human communication include messaging and gig economy platforms, while human-machine examples include digital assistants like Siri, Cortana, and bots. - As the lines between human and machine communication blur, interactions may not reveal whether the reply comes from a person or AI. - This evolution provides a new paradigm for searching and accessing information and services using natural language conversations.
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Blurring the lines
- 2. Language
- 3. “Language is a virus from outer space.” - William S. Burroughs
- 4. Evolution
- 5. Exaptation biology The use of a biological structure or function for a purpose other than that for which it initially evolved.
- 6. “Thinking is a human feature. Will AI someday really think? That's like asking if submarines swim. If you call it swimming then robots will think, yes.” - Noam Chomsky
- 7. Intent
- 8. Parsing text
- 9. "Language emerges from human minds interacting with one another" - Steven Pinker
- 10. "The verb is the chassis of the sentence" - Steven Pinker
- 11. Language as an interface
- 14. Asynchronous
- 15. Text can be compared, diffed, clustered, corrected, summarised filtered algorithmically
- 16. It permits multiparty editing, branching conversations, lurking, annotation, quoting, reviewing, summarising and structured responses.
- 17. The Holy Grail Contextually relevant information on the correct channel where the user has total control via a natural interface.
- 19. Voice requires more cognitive load !
- 20. Chat as a universal UI.
- 21. Technology
- 22. NLP
- 26. Notifications
- 28. Cards
- 30. Apps without an interface. «Invisible apps»
- 38. Brands as destinations i.e. official accounts Why don’t I text DriveNow for a car ?
- 40. Who ?
- 43. Human to Human Human to Machine Machine to Human Machine to Machine
- 44. Human to human Messaging, The Gig Economy,Experts on Demand
- 48. Human to machine Siri, Cortana, Digital Servant
- 51. Assistant as an interface Luka.ia, Pana,
- 53. “We’re not about shouting at consumers, but starting a conversation.”
- 56. The Race to Become the WeChat of the West “There are more official accounts created on WeChat each day in China than there are websites brought online.”
- 57. WeChat has all of these things already !
- 60. “Young consumers in the West are like all consumers in the East.”
- 63. Different actors for different uses
- 64. Is it live or is it Memorex ? You won’t be able to tell the difference between a person or machine replying to you. This is where AI will really shine.
- 65. Facebook M Already taking this approach
- 66. Language will continue to evolve In the same way that it has evolved in connecting people it will evolve in connecting people and systems.
- 67. Summary •Chat/txt is easy and natural (low cognitive load) •It is perfect for quick communications (WhatsApp) •Sometimes these are with an expert (Go Butler) •Sometimes they are with a system (Siri,Cortana) •This can be obvious (Slackbot) or more subtle and humanlike (Luka.ai) •Different approaches for different kinds of interaction i.e. Speech vs Text •A higher level abstraction of the HMI (i.e. from desktop -> mobile -> this ) •A new type of search based on natural language •Perfect for when you want 1 exact answer/result.
- 69. We are hiring !