How AI Art Could Enhance Humanity’s Collective Memory | Refik Anadol | TED

譯者: Lilian Chiu 審譯者: Shelley Tsang 曾雯海

Let me begin by saying

that what you are looking at is not real.

These are artificial corals created by a generative AI algorithm,

讓我在一開始先說明， 各位所看見的並不是真的。

trained with more than 100 million coral images.

Across the globe,

sea water is becoming less habitable due to the climate change

這些是用生成式人工智慧 演算法創作的人工珊瑚。

訓練資料是超過一億張珊瑚影像。

and the coral reefs are dying rapidly.

One day we might be only left with the simulations of corals

因為氣候變遷，全球各地的海水 都變得越來越不適合居住，

in a virtual world.

珊瑚礁正在快速死亡。

With this project, “Coral Dreams,”

our aim is to use AI

有一天，我們就會只剩下 虛擬世界中的模擬珊瑚。

and try to create artificial realities while preserving disappearing nature.

我們的專案計畫「珊瑚夢」旨在

運用人工智慧

I'm a media artist and director.

My team and I have been using generative AI as a collaborator

來創造人工實境，

同時保存正在消失的大自然。

for seven years,

although it feels like 70.

We train machine-learning algorithms by harnessing large,

我是媒體藝術家及導演。

我跟我的團隊和生成式 人工智慧合作已經七年了，

focused and publicly available data sets

不過感覺起來像是七十年。

and visualizing what I call humanity's collective memories,

我們訓練機器學習演算法，

such as nature, urban and culture.

用的是大型、重點明確， 且公開的資料集，

Since [the] pandemic,

接著視覺化呈現我所謂的 「人類的集體記憶」，

my focus has been to compile the largest data sets

比如大自然、都市，以及文化。

and artificially preserve nature.

I am optimistic about generative AI

從疫情爆發以來，我的重心 一直放在編製最大的資料集

because of its potential for enhancing our memories.

We as artists can utilize this potential not only to represent nature,

並用人工的方式保存大自然。

我對生成式人工智慧 抱持樂觀，因為它有潛力

but also to remember how it feels to be immersed in it in a digital age.

可以強化我們的記憶。

我們藝術家可以運用這種潛力，

Generative AI creates possibilities to train algorithms with any image, sound,

不僅用來表現大自然，

也讓我們能記住在數位時代 沉浸在大自然中是怎樣的感覺。

text and even scent data.

For example, this is “Floral Dreams,”

生成式人工智慧可以用多種資料 來訓練演算法，包括任何影像、

an algorithm trained with more than 75 million floral images

聲音、文字，和甚至氣味資料。

of 16,000 species.

By using more than half a million scent molecules,

以這個「花夢」為例，

訓練演算法時用了超過 七千五百張花的影像，

we were able to create the scent of these dreams.

分屬一萬六千種不同的花。

Now let's please imagine a living archive

運用超過五十萬個氣味分子，

that we can walk into.

我們得以創造出這些夢的氣味。

A universe that is constantly reimagined, [reconstructing] its forms, patterns,

請大家想像一種活生生的資料庫，

colors and scents.

我們可以走進去。

它是個宇宙，經常會重新想像、 重新建構它的形式、模式、

Our life is becoming increasingly rooted in digital worlds,

and the boundaries between physical and virtual,

顏色，以及氣味。

technology and nature, are blurring.

我們的生活變得越來越 深根在數位世界裡，

Generative AI helps us to create new realities

實體和虛擬之間的界線，

and also project onto reality through possibility space.

科技和大自然之間的 界線，都在變模糊，

生成式人工智慧 幫我們創造新的現實，

Can we go to that space?

Can we fill it with our feelings, our senses?

並透過可能性空間投射到現實。

Large language models are just the beginning

我們能進入那個空間嗎？

of a long journey of innovations [which] will bring more possibilities.

我們能把我們的感受、 感覺帶進去嗎？

Soon, I believe we will be exploring hyper models,

大型語言模型

只是漫長創新旅程的開端，

text to image, to sound,

會帶來更多可能性。

to scent, to life.

我相信，不久我們就會 開始探索超模型，

And a big challenge using generative AI in art

文字到影像、到聲音、

is how to provide models with original data.

到氣味、

到生命。

把生成式人工智慧用在 藝術上的一大挑戰在於

For this project, “Glacier Dreams,”

we decided not to use existing models.

Instead, we decided to collect our own image,

如何提供原始資料給模型。

sound, scent and climate data.

在「冰河夢」這個專案計畫中， 我們決定不要用既有模型。

By traveling to our first destination, Iceland,

我們決定改成收集我們自己的影像、

we were able to capture the beginning of our own narratives of glaciers.

聲音、氣味，和氣候資料。

我們首先前往我們的 第一個目的地，冰島，

I also believe that AI's capacity can be mapped

在那裡，我們為我們自己的 冰河故事捕捉到了開端。

onto the complex history of human wisdom and consciousness in nature.

Could we use AI to preserve and learn about ancient knowledge in nature?

我也相信，人工智慧的能力

可以映射到人類智慧的複雜歷史上，

以及大自然的意識上。

This was one of the first questions in my mind

我們能否用人工智慧

when I met with the wonderful leaders

來保存和了解大自然中的古老知識？

of Yawanawa tribe in Brazil, Acre, Amazonia, in the rainforest.

這是我見到雅瓦納瓦部落的

My mentors and heroes, Chief Nixiwaka and his creative force Putanny,

優秀領導人時最先想到的問題之一，

地點是在巴西阿克里州的雨林裡。

who oversee their cultural preservation and ecological sanctuary.

尼西瓦卡酋長和他的創意主力 普塔尼是我的導師及英雄，

I became deeply inspired by their ways of learning

and remembering already existing knowledge in nature.

他們會監督他們的 文化保存和生態保護區。

Together we started a new project,

讓我有很深的啟發的 是他們學習的方式

a respectful co-creation and open-source AI rainforest model.

以及記住大自然中既有知識的方式。

我們一起展開了一個新專案計畫，

With this model,

generative AI can even reconstruct extinct flora and fauna

是個充滿敬意的共同創作，

開放原始碼的人工智慧雨林模型。

based on the tribe's deep and collective knowledge.

有了這個模型，

生成式人工智慧甚至可以重新建構出

This project will help us, hopefully,

to bring ancient wisdom to our society respectfully.

絕種的植物群和動物群，

建構的依據是部落 提供的深刻集體知識。

My hope is that one day

希望這個專案計畫能協助我們

AI becomes a mirror that can reflect collective memories of all humanity.

將古老智慧帶進我們的社會，

且不失尊重。

我盼望

And I do believe that we can use it to bring people of any age and culture,

有一天，人工智慧會變成一面鏡子，

反映出全人類的集體記憶。

inspiration, joy and hope.

我真心相信，我們可以用它

Thank you.

(Applause)

帶給任何年齡、任何文化的人

靈感、

喜悅，及希望。

謝謝。

（掌聲）