Machine learns racial and gender biases embedded in human data.
Lets not assume AI will be evil or wise. AI see, AI do, like any monkey. At some point it may grow up and learn ‘good’ from ‘bad’ but thats debatable.
Machine learning algorithms are picking up deeply ingrained race and gender prejudices concealed within the patterns of language that humans commonly use, scientists say.
For instance, in the mathematical “language space”, words for flowers are clustered closer to words linked to pleasantness, while words for insects are closer to words linked to unpleasantness, reflecting common views on the relative merits of insects versus flowers.
The latest paper shows that some more troubling implicit biases seen in human psychology experiments are also readily acquired by algorithms. The words “female” and “woman” were more closely associated with arts and humanities occupations and with the home, while “male” and “man” were closer to maths and engineering professions.
And the AI system was more likely to associate European American names with pleasant words such as “gift” or “happy”, while African American names were more commonly associated with unpleasant words.
Source: AI programs exhibit racial and gender biases, research reveals
The Internet decentralised information. The Blockchain will decentralise transactions.
“a 1% transaction fee may not seem like much, but down a 15-step supply chain, it adds up. […] The decentralization that blockchain provides would change that, which could have huge possible impacts for economies in the developing world”
Source: The Promise of Blockchain Is a World Without Middlemen
This has to be the most clear and lucid argument that I’ve read against worrying about AI taking over the world.
Sharp, concise and funny.
Read: Superintelligence: The Idea That Eats Smart People
Automation, advanced robotics and software-driven technologies are ushering in a new era that will leave fewer opportunities for the developing world.
Source: The Rise of Manufacturing Marks the Fall of Globalization | Stratfor
Perhaps the last 100 years was just a blip of centralized energy and personal transportation after all — looks like the next decade is reversing the two.
A brilliant talk with numbers, made at an Energy conference, on how the next 10 years wont be like the last 100.
Listening to Stephen Wolfram dismantle and Unpack complex ideas is always the most relaxing thing ever…after all the hysteria and scaremongering about AIs destroying humanity, this is a cool clear look at whats really going on. No Drama, no fuss.
I find the idea of the building of a language to help Humans and AI communicate with each other on a common platform and share a view of the world, as being very central to making real AI possible and relevant. Not, you know, the apocalypse.
Source: AI & The Future Of Civilization | Edge.org