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400 Days of Writing About AI

Setting general or narrow goals when writing about artificial intelligence

I have now been writing one new article about artificial intelligence every day for 400 days, they have naturally been of varying length and quality. However, I tried to set myself broad goals in 100 days increments. This is an article reflecting on the topic(s) I chose to write about and whether I reached any of my goals. This begs the question in the first place of whether I set any goals. Last time I even dedicated a full article to exploring different paths I could go down, if you want to explore this you can:

Regardless, what did I think that I should write about 100 days ago?

Broadly summarised these different alternatives were:

  1. A pentagon of intertwined topics: health, security, climate, social science and policy relating to artificial intelligence.
  2. Crisis x3, that is a health crisis, a climate crisis and an economic crisis.
  3. Artificial intelligence hardware and the climate.
  4. Trade-offs in the intersection of AI, climate change and health.
  5. Participant observation of AI.

Of these I mainly chose the third option.

Still, what happened underway was a pressing change in the international environment that came to have consequences for facial recognition technology.

Therefore, it seems I spent mostly days 300–350 on what I intended to explore, and then changing my course slightly during days 350–400.

Summed up, my 400 days have been the following:

  • 1–50 days: writing generally about artificial intelligence exploring basic concepts.
  • 50–100 days: writing with a focus on AI Safety connecting security concerns with climate.
  • 100–150 days: AI connected to programming, international relations, quantum and 5G.
  • 150–200 days: began focusing more on national AI strategies and the climate crisis.
  • 200–300 days: I decided to spend 100 days mapping national and international AI strategies.
  • 300–350 days: Artificial intelligence hardware and the climate.
  • 350–400 days: Racial and social inequalities as well as inequities relating to artificial intelligence, particularly in face recognition technology.

With this in mind: am I setting general goals when writing about artificial intelligence?

Not in the context of artificial general intelligence (AGI).

“Artificial general intelligence (AGI) is the hypothetical intelligence of a machine that has the capacity to understand or learn any intellectual task that a human being can.”

My writing has been more pertaining to narrow artificial intelligence: “…a specific type of artificial intelligence in which a technology outperforms humans in some very narrowly defined task.”

So, when I say general goals I mean more in the sense of society or technical application. If I had focused on one narrow application within health or climate change I might have been able to accomplish more.

To counter this I think AI is a complex field to enter, and I have had such a great journey attempting to explore different aspects.

What I am coming to realise is, that I to some extent could guess already, namely that on day 400 I am only beginning to gain a grasp of rudimentary concepts within the field of AI.

Reinforcement learning myself?

If we were to optimise, what is the cumulative reward?

What am I optimising for?

“Reinforcement learning (RL) is an area of machine learning concerned with how software agents ought to take actions in an environment in order to maximize the notion of cumulative reward.”

I am not thinking of this process as optimisation.

What does human learning optimise for?

I have come to know more about a climate crisis and having seen discussions of how AI technology increasingly was becoming weaponised.

Is that seeing a risk or opportunity? Is it for survival?

In anthropology, and increasingly with an interest in political science, I have come to more learn about a diverse range of places.

Thereby, attempting to fathom what different people consider AI development.

AI is international policy.

It is a narrow application.

It is a dynamic ethical conundrum.

At the same time I can question what has been reinforced in this process.

Perhaps, it is my wish to learn more.

This is #500daysofAI and you are reading article 400. I am writing one new article about or related to artificial intelligence every day for 500 days.

Here is the complete list of articles so far with ‘friend links’ so you can view all of them regardless of any paywalls. Thank you for following my posts!

1. Defining AI — #500daysofAI:

2. An Essay On Applied Artificial Intelligence and Sustainable Cities:

3. Some Current Issues In Funding of Artificial Intelligence:

4. Patents In The Field of Artificial Intelligence:

5. AI for Good and AI for Bad — published in The Startup:

6. AI Governance in Argentina and Uruguay:

7. Three Writers In The Field of AI:

8. Scandinavian AI Strategies 2019 — published In Becoming Human:

9. Social Scientists and AI — published in AI Social Research:

10. 10 reflections on AI:

11. The Rise and Rise of Spacemaker AI — published in Towards Data Science:

12. Inequalities and AI — published in The Startup:

13. Artificial Intelligence and Religion:

14. AI Contextual Awareness Engine:

15. A Noob Is Critiquing My Algorithm:

16. IRIS.AI Your Science Assistant — published in The Startup:

17. Digital Insecurities:

18. Artificial Intelligence in Switzerland:

19. Water and Artificial Intelligence

20. Artificial Intelligence and Music:

21. #500daysofAI after 20 days:

22. Everyday Life and Microprediction:

23. Biased Bananas? 🍌

24. AI and Nine Forms of Intelligence

25. Multimodal Elderly Care Systems Using Artificial Intelligence to Improve Quality of Life:

26. Tales From Goodwin

27. The Centre for Artificial Intelligence Research (CAIR)

28. The Qualitative Data Scientist

29. AI in Physical Product Design

30. Very Artificial Poetry

31. 30 Days of Artificial Intelligence

32. AI and The Imposter Syndrome

33. The New Chinese Startup Smart Speaker Startup Maybe

34. Artificial Intelligence of Things

35. Databaiting

36. AI as a Service

37. Digital Violence and AI

38. Stop in The Name of AI!

39. Google AI and Developments in Semi-Supervised Learning

40. Advancements in Semi-Supervised Learning with Unsupervised Augmented Data

41. How is the Quiet Revolution in Semi-Supervised Learning Changing the Industry?

42. 40 days along with 500days of AI

43. Saving Wildlife with Epigram AI

44. Google Federated Learning and AI

45. Artificial Intelligence and Pension

46. Databaiting with FaceApp

47. Towards Social Data Science

48. Facebook vs. EU Artificial Intelligence and Data Politics

49. Artificial Intelligence and Fairness

50. Far-Right Extremism and AI

51. Towards Artificial General Intelligence

52. Debating the AI Safety Debate

53. How does Facebook define Terrorism in relation to Artificial Intelligence:

54. Avoiding Side Effects and Reward Hacking in Artificial Intelligence

55. AI Safety and the Climate Crisis

56. Mitigation of Climate Change with Machine Learning

57. Adaptation to Climate Change with Machine Learning

58. AI Safety and Social Data Science

59. Artificial Intelligence and Norwegian Gender Quotas

60. AI + Safety with DNV-GL

61. Artificial Intelligence & The Bystander

62. Does AI Safety Consider Job Safety or Not?

63. Center for AI Safety at Stanford University

64. Very Artificial Poetry #2

65. Artificial Intelligence Ethics vs. World Domination

66. Artificial Intelligence and Recent Billion Dollar Investments 2019

67. Artificial Intelligence and Trust

68. Safe Artificial General Intelligence

69. The Top Myths About Advanced AI

70. AI Safety and Designing to Understand What Humans Really Want

71. 70 days of Artificial Intelligence

72. Artificial Intelligence and the UNDP

73. Elements of AI

74. AI Safety — How Do You Prevent Adversarial Attacks

75. How Safe is a Solution Within the Field of AI

76. AI Safety and LawTech

77. Artificial Intelligence and Biotechnology

78. Evaluating Artificial Intelligence

79. AI and Collective Action

80. AI Safety in the Serengeti

81. United Kingdom and Artificial Intelligence

82. 80 days of Artificial Intelligence

83. DeepMind co-founder’s Leave of absence

84. Artificial Intelligence and Being Sustainable

85. AI Safety and Intellectual Debt

86. Should Every Computer Science Degree Require a Course in Cyber Security?

87. Elon Musk and Jack Ma’s Debate at World Artificial Intelligence Conference in Shanghai August 2019:

88. Exploring the Partnership on AI:

89. Artificial Intelligence and Nonprofits:

90. Artificial Intelligence in Participatory Planning:

91. Speculative Execution of Code:

92. Artificial Intelligence and Forest Management:

93. What is Transfer Learning:

94. In Between Social Science and Computer Science:

95. Very Artificial Poetry #3:

96. Why digital twin?

97. Google’s AI for Social Good:

98. Artificial Intelligence and Understanding Time:

99. Artificial Intelligence and Data Citizenship:

100. 100 days of Artificial Intelligence

101. Writing About Python

102. How Did Python Programming Start

103. Cannot Compute Python and Social Science

104. Simple Complexity in Transportation

105. Small Data Versus Big Data — Ethnographic Tactics and Algorithms as Culture

106. The Evolution of Python and The Fear of Dying Languages

107. The Politics of Python Programming

108. Unpacking Artificial Intelligence

109. Artificial Intelligence and Adoption of Legal Technology

110. Definitions of Artificial Intelligence

111. The Climate Crisis & Why Data Must Not Become the New Oil

112. Our Digital Habitat & Climate Crisis

113. Artificial Intelligence & Parkinson

114. Microsoft and Python Programming

115. the Global Initiative Near You

116. What is the Kernel?

117. The Climate Crisis and Artificial Intelligence Safety

118. Element AI from Canada to the World

119. The Data Dilemma

120. Artificial Intelligence and Indentured Labour

121. Norway, Brazil and AI for Water Management

122. Anthropology + Technology

123. Dank Learning & Information Gerrymandering

124. Bayesian Convolutional Neural Network

125. Let’s talk Dataflow

126. Sharing is Caring with Algorithms

127. Artificial Intelligence, Crisis and the Importance of Bridge Building

128. Can Artificial Intelligence be Organic or Biologique?

129. Late Night Writing About AI

130. Artificial Intelligence in Job Interviews

131. Distributed AI and Big Security

132. Quantum Information and AI

133. Nuclear War and Artificial Intelligence

134. Artificial Intelligence and Citation Patterns

135. Failing at Artificial Intelligence?

136. Automatic Domain Randomization

137. Artificial Intelligence and Training Data

138. AI, The Global Data Commons & Digital Dystopia

139. AI for Better or Worse

140. Is Artificial Intelligence the Best That Has Happened to Our Civilisation, or the Worst?

141. Artificial Intelligence For Our Civilization

142. Debating AI in Oslo

143. Deterring Artificial Intelligence

144. Artificial Intelligence and Ethnography

145. The University of Artificial Intelligence

146. Artificial Intelligence — The Good, The Bad and The Ugly

147. Artificial Intelligence, 5G and Spectrum Allocation

148. EU’s International Security Policy, Artificial Intelligence and 5G

149. 5G Robotics and Artificial Intelligence

150. China and 5G in 2019

151. 150 Days of Artificial Intelligence

152. Fitbit + Google AI + 5G = ?

153. Artificial Intelligence and 5G

154. National AI Policies and the Climate Crisis

155. The French AI Strategy and the Climate Crisis

156. (unlisted)

157. The UK Artificial Intelligence and the Climate Crisis

158. India’s Artificial Intelligence Strategy and the Climate Crisis

159. The United States Needs a National Vision for Artificial Intelligence

160. National AI Strategies and the Climate Crisis

161. AI in Society

162. Collaboration Between Computer Science, Social Science and Humanities

163. AI Social Data Science and the Climate Crisis

164. A Compromise With AI and Me

165.Artificial Intelligence and Illegal Gender Equality

166. Nordic Artificial Intelligence

167. A Course On Nordic Artificial Intelligence

168. A Planet-Centered Approach to Artificial

169. AI-enabled Wind Farms

170. The Forum of

171. Research Initiatives for AI and the Climate Crisis

172. Talking About Artificial Intelligence and the Climate Crisis

173. AI & Data Centres

174. Planet-Centered Artificial Intelligence

175. Digital Anthropology and Facebook Governance

176. The OECD Principles on AI

177. AI Applications and Locations

178. Listening For or With AI

179. What are the Major Achievements in Artificial Intelligence

180. Artificial Intelligence and More or Less Ethical Future of Work

181. Singapore’s National AI Strategy

182. Is Streaming Games While Using Artificial Intelligence Environmentally Possible to Defend

183. The Global Artificial Intelligence Indexes 2019

184. The Religion of Artificial Intelligence

185. Infringing on AI Patents with IBM, Sintef and Simplifai

186. Subjective and objective in the Development of Artificial Intelligence

187. What is Kaggle?

188. A Cleaner Regulatory Approach to AI

189. Artificial Intelligence and the Various Principles of AI

190. As Larry and Sergey Steps-Sownd from Google is it Time to Find an Alernative?

191. AI Specialist is the Fastest Growing Job Title for Hiring on LinkedIn

192. Learning Programming Over the Winter Holidays

193. Aspects of Neural Cryptography

194. Geoconquesting Gotta Catch ’Em All

195. A Lack of Focus in my Approach to Writing About AI

196. A Typology of AI Ethics Tools, Methods and Research

197. Timely and Ethically Sustainable AI

198. What is the Greatest Threat to AI Talent in the US

199. Very Artificial Intelligence #4

200. 200 Days of Artificial Intelligence

201. National and International AI Strategies Around the World Towards 2020

202. EU Strategy on Artificial Intelligence In 2018

203. EU’s Strategic Bet on Ethical and Trustworthy Artificial Intelligence

204. Christmas Day AI

205. Using Trustworthy AI to Build A Positive Impact in Europe

206. What Is the European AI Alliance?

207. AI Strategy in EU Towards 2020

208. Liability for Artificial Intelligence in the European Union

209. The Declaration of Collaboration on AI in the Nordic-Baltic Region

210. Lithuanian Artificial Intelligence Strategy 2019

211. AI in 2020 with #500daysofAI

212. Estonia’s National Strategy for Artificial Intelligence

213. The Pathway to Poland’s AI Strategy

214. Germany’s AI Strategy

215. Artificial Intelligence Strategy for the Netherlands

216. 2020 Passing The Deadline for National AI Strategies in Europe

217. Towards a National AI Strategy for Spain

218. The US Principles for AI and OECD

219. The AI Agreement Between India and the Arab Emirates

220. What Strategy Does Europe Have to Tackle Deepfakes?

221. A Sustainable Long-Term Italian AI Strategy

222. AI Strategy 4 Belgium

223. 2020 and the European National Strategies for Artificial Intelligence

224. The British National AI Strategy

225. The Norwegian National Strategy for Artificial Intelligence Has Launched!

226. The French National Strategy on Artificial Intelligence

227. Portugal’s National AI Strategy

228. Croatia’s Potential AI Strategy

229. AI Strategy in Romania

230. Artificial Intelligence for the Czech Republic with a National Strategy

231. European Countries & the Artificial Intelligence Index

232. Artificial Intelligence and the Rising Stars of Europe

233. What is an AI Strategy Good for?

234. Why Care About Artificial Intelligence Policy?

235. Very Artificial Poetry #5

236. The National AI Strategy of the UAE

237. Towards an AI Roadmap for the Philippines

238. Three Emerging Strategies for Auditing Artificial Intelligence

239. National AI Strategy for Ireland in Early 2020

240. Where is the AI Strategy for Peace?

241. Towards a National AI Strategy in Mexico

242. AI Strategy Writing With Transformer

243. India’s Artificial Intelligence Strategy Going Into 2020

244. AI Strategy in Mongolia

245. Artificial Intelligence in South Africa

246. Boring Artificial Intelligence Strategies

247. Artificial Intelligence and Strategic Intent in National Strategies

248. Policy Coherence for Artificial Intelligence

249. Futuristic Notions of What AI could Be and Why It’s Not New

250. Emerging Artificial Intelligence Strategies

251. 250 Days of Artificial Intelligence

252. The AI Strategy of Mauritius

253. AI Strategy, Data Centres and the Climate Crisis

254. Responsible Use of Artificial Intelligence an Interview With

255. The Australian AI Strategy

256. AI Strategies and Emotional Detection

257. Very Artificial Poetry #6

258. What Happened After The Forum on Artificial Intelligence in Africa 2018?

259. AI in Africa 2020–2030

260. An International AI Strategy for Water

261. A Note on AI Strategies

262. A Multilateral AI Strategy for Biodiversity and Restoration

263. Impact Transparency and xAI

264. The Future Present Past

265. A European Approach to AI 2020

266. Artificial Intelligence in the European Strategy for Data 2020

267. AI and Data in EU 2020

268. A National AI Strategy for Labour

269. Malta’s AI Strategy

270. With Our Heads In the Clouds

271. Water Scarcity, Data Centres and AI in South Africa

272. Why Fortune is Incorrect About EU’s AI Strategy

273. Deep Ecology and AI

274. Ireland’s National AI Strategy

275. AI and the Coronavirus

276. An AI Strategy for the Climate Crisis

277. AI and the Climate Crisis: a Collection of Texts

278. Panel Discussion on AI & Climate Change

279. Quantifying the Carbon Emissions of Machine Learning

280. The Lack of Data on Data Centres

281. The Water-Electricity Nexus & AI

282. 11 AI & Energy Initiatives in the Nordics

283. Climate Modelling Clouds With AI

284. Talking About Crises in Plural

285. Artificial Intelligence and Rainforest Connection

286. Urban Canopy Cover with AI

287. Coronavirus, AI and Digital Infrastructure

288. CORD-19 an Open Research Dataset Made to Tackle the Coronavirus

289. The Failed Facebook Spam Filtering of the Coronavirus

290. Pachama Protecting Forests With Machine Learning

291. Predicting Floods & Drought with AI

292. AI & Forestry Tech Startups

293. Model Size and Efficient Training in AI

294. Grand AI Strategies and an Epidemic

295. Artificially Present

296. Precision Agriculture with AI

297. A CLAIRE message on Corona

298. AI from A-Z and C is for Climate

299. Artificial Intelligence and Facilitation of New Business Ideas in a Crisis

300. Here’s how AI can save your coffee and fight climate change

301. 300 days of #500daysofAI

302. Choosing a Topic Within Artificial Intelligence

303. Artificial Intelligence, Hardware and the Climate Crisis

304. AI and Life Cycle Assessment

305. What is an AI Accelerator?

306. Six Areas in AI Hardware Research

307. The Google Edge TPU

308. Revisiting the Anatomy of An AI system

309. Context Erasure of AI

310. AI, Sensors and Robotics

311. Artificial Intelligence and the Semiconductor Market

312. Artificial Intelligence and Supply Chain

313. Artificial Intelligence and Changing Memory

314. Memory Usage in Medical AI Applications

315. Non-Volatile Memory and the Historical Backdrop of Computing Memory

316. Not Writing About Crisis

317. AI & Hybrid Multicloud Strategies

318. Good Health and/or Surveillance

319. The Indian Supercloud

320. The Coronavirus and African Digital Infrastructure

321. Ferroelectric RAM vs. MRAM

322. 25 Million Datasets and Not One About Google’s Data Centres

323. Renewable Energy, Google & AI

324. Google AI and Evolutionary Strategies

325. Efficient AI Hardware and Compute

326. Chinese AI company Yitu and COVID-19

327. License to Scan

328. Megvii and AI Ethics Principles

329. What is SWaP-Constrained Embedded Computing for Artificial Intelligence?

330. Upsetting Carbon Offsets in the Cloud

331. NUS Business’ new Centre on AI Technology for Humankind

332. — the Voice Assistant

333. Artificial Intelligence Policy By Salesforce?

334. IBM AI Infrastructure on the Surface

335. Applied AI and the City

336. AI, Human Rights & AI Now

337. Hyperscale Data Centres

338. The Story of Advanced Micro Devices

339. Becoming a Number in Machine Learning

340. Artificial Intelligence & the Shape of Large Data

341. Solar Inverters and AI

342. Water in Data Centres

343. Silicon Renaissance with AI

344. Regulating Artificial Intelligence in EU 2020

345. Technology Optimism and Criticism

346. A Collaboration for Nordic AI Policy

347. New AI Chip on the Block

348. A Layout Generator for AI Hardware?

349. Tree-like Memory in Hardware

350. Cloudwalk Receives 1.8 billion RMB in Financing

351. OECD AI’s Policy Areas

352. Google AI Takes a Stance Against Oil and Gas

353. The AI Chip Market 2020

354. Some Thoughts on Predictive Policing

355. Adaptable Computing Accelerators

356. The Multi-Cloud Overcast in Digital Infrastructure

357. What is Edge Computing?

358. The Coded Gaze in Anthropology

359. Handmade Artifice

360. International Artificial Intelligence Policy

361. What is Tiny Machine Learning?

362. Five Books on International AI Policy

363. The International Data Group

364. AI & Academic Search Engines

365. Hardware Attack Surface & AI

366. Very Artificial Poetry #7

367. A Note on Multimethodology

368. Racial Inequality and Inequity in Facial Recognition Technology

369. The Spread of Facial Recognition Technology in the United States Law Enforcement

370. Bordering the Digital Europe

371. The New Developers in Development

372. IBM Takes a Stance on Racial Inequality and Inequity

373. The Consequences of Relevance

374. Bans Police from Using Rekognition

375. To Ban or Not to Ban FTR

376. Microsoft Will Not Sell Facial Recognition Technology to the Police

377. 2020 and a New Undersea Cable Around Africa

378. The Global Partnership for Artificial Intelligence

379. Anthropocentric AI

380. Disenchanting the AI Hype

381. AI, Algorithms and the Federal Trade Commission

382. AI & Listening Between the Lines

383. Are YouTube’s Algorithms Racist?

384. Seven Reasons for the Growing AI Market in the Healthcare Industry

385. A Google Question Answering Competition at NeurIPS 2020

386. If I Should Write an Introduction to Artificial Intelligence Policy…

387. Artificial Intelligence, the Hyperscale and 5G Connectivity

388. Me, My Data and OK Google

389. AI & #StopHateForProfit

390. AI Summer 2020

391. Apple Pushback Against Databaiting

392. What is Explainable?

393. Baidu’s PaddlePaddle

(…six more articles coming here, just need a short break from copying in links)

Written by

AI Policy and Ethics at Student at University of Copenhagen MSc in Social Data Science. All views are my own.

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