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Photo by @pawel_czerwinski

200 Days of Artificial Intelligence

Writing One New Article About AI Every Day for 200 days

Key Insights After 200 Days

It is hard to think of what to say that could reduce down 200 days to a few key insights. Although I will try it will likely be partly a reflection of the day, as I am likely to change my mind. This short list is moving beyond the definition of what AI is and the different trends in deep learning or broadly in the variety machine learning techniques. You could say this is a critical approach to artificial intelligence while maintaining a somewhat positive and optimistic note.

My key insights after 200 days can be summed up as the following:

  1. Technology is not neutral and the intentionality of the systems built matter. These solutions have different affordances, that is: properties of possible actions. These are important to consider when developing or evaluating what is good applied AI.
  2. States around the world are making national AI strategies and most of these do not address the climate crisis and sustainability at all, or if they do so they do it poorly.
  3. There is an increasing degree of attention towards governance in the field of artificial intelligence as the technology increasingly is implemented in the public sector or with nonprofit organisations.
  4. There is unrest in AI security with international tensions arising, however this causes more insecurity and heightened politicised national relationships relating to data ownership.
  5. Discussions of ethics at the technology conferences that I have visited so far have mostly been restricted to an anthropocentric or human-centred approach as opposed to ecology or planet-centred.
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Personal Highlights After 200 days

The overall highlight has of course been to be allowed into the lives of a variety of AI researchers and receive invitations to discuss these topics. Alongside this learning more Python has been immensely fun and incredibly frustrating – in the best way — to understand my limitations as a social science that I want to push ever so slightly. These can be reflected in the moments that I will list, however it is hidden in between these two in the late nights spent reading articles, strategies and writing text or code.

These personal highlights includes:

  • Interviewing some wonderful people in the AI sphere in Oslo and abroad
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Especially Olav from Epigram and Morten from the Artificial Intelligence Research Centre (CAIR). There are plenty of interviews that I undertook, yet I could not find the time to transcribe, hopefully they can make their way into a publication of mine at some point whether it is a pamphlet or online. I have also been talking to researchers from IBM and University of Oslo that either have an international background or I interviewed through online video.

  • Winning the Oslo Legal Hackathon
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Together with a team of one lawyers, a political scientist, UX designer and several developers I won the Oslo Legal Hackathon 2019. We won the best solution for making the legal industry more effective amongst around a 100 participants. The solution is still being developed and is built upon one of the largest digital legal registries in Norway called Rettsdata. Before the hackathon I had prepared a whitepaper for arguing that in a crowded market it was better to make one solution better for the lawyers building on top of the existing offering.

  • Releasing two small self-published books about AI
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A fun moment was when one of my Professors called my book a pamphlet, and it has made me laugh several times, because it has made me realise how far I have to go. At first of course I thought he meant it as an insult or to be glib, however I realised it was a compliment only a month after he had said it. These two books were both around 100 pages in A5 and that does make them pamphlets in the eye of some or books in the eye of others. This recommendation from a young researcher has been one of the most fun to try out.

  • Talking at the Microsoft office during Oslo Innovation Week
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I was lucky to be able to talk at Microsoft about AI Safety, and at the same time I came into contact with the global community that helped organise this event. are now people that I think of as community and it helps to have someone I can ask about implementation of solutions rather than simply research-oriented questions. The event was called Applying AI for UN Sustainable Development Goals and happened Thursday 26/09 2019.

  • Going to my first international conference as a speaker (co-speaker)
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The kindest anthropologist and perhaps one of the bravest I know is named Anna Kirah, and she invited me to share her speaking slot at the international conference for Anthropology + Technology in Bristol 2019 organised the 3rd of October. I was way beyond lucky to take part and met people that challenged my perspectives in ways I had not expected. You can expect the unexpected when anthropologists and technologists meet!

  • Taking part in the ending panel debate of Cutting Edge, the largest technology and research festival in Norway
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It was very strange to be the youngest participant on stage with some of my great inspirations in the AI community in Oslo. It was the 24th of October and a great way to round of a day filled with knowledge.

  • Another panel debate at Media Mondays in Oslo discussing machine learning patenting with the CTO of IBM in Norway and a small Norwegian AI company

I think regulation is an important area that has to be explored and it was very interesting to see a representative from a large technology company and a member of a small technology startup came together to discuss.

  • Becoming a board member of the digital ethics council in Norway organised from within the Norwegian Computer Society

I was invited to join a new digital ethics council in Norway and became part of the board to help develop tools and framework for developers.

  • Holding my first two hour lecture on artificial intelligence

During my book release I held a prolonged lecture about AI touching upon the three topics of tech partnerships, AI strategies and emerging practices. However I engaged the audience and related it to those who had joined, thus it became centred on discussing legal applications and psychology.

  • Being selected as a speaker at TEDxYouth in Oslo
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To quote TED:

“Alex is the writer of “50 shades of AI”, but he’s also behind the project “500 days of AI” where he writes one article each day about AI. As you probably understand, Alex is passionate about AI, but what you don’t know is this: He’s also passionate about climate change and wants to be a part of the solution. In his TEDx talk, he’ll talk about how AI can affect the climate and why we should be revolting against the big companies. Thought you knew everything there was to the climate crisis? Guess not!”

This will be on the 2nd of February 2020.

What Did I Not Learn?

Although I have been learning much about the field of artificial intelligence it is still much left to learn. For now I am quite aware that I am only grasping the basic concepts and need to learn far more Mathematics. It is my goal to understand developers and build bridges, not become a ‘star developer’, however my progress in programming is what I would like to focus more on. If I can understand slightly better to be helpful in developing tools to create a better awareness relating to the climate crisis that would be great. In addition to this I want to understand and help show how technology can be helpful or be detrimental to goals most of the countries in the world have set together.

200 days of artificial intelligence

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. Today!

This is #500daysofAI and you are reading article 200. I write one new article about or related to artificial intelligence every day for 500 days.

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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