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150 Days of Artificial Intelligence

Writing One New Article About AI Every Day for 500 Days

There is a lot to write about, ominous clouds so to speak. Therefore filling 150 days with writings about artificial intelligence has in no way been difficult in terms of news or research. Rather the difficult part has been to write about this topic considering the mind-boggling complex environment, especially within my two overlapping interests: artificial intelligence and sustainability. In some sense my head hurts thinking about the immense progress that humanity has considering changes in technology. Simultaneously that very same headache may be due to the often ignored climate crisis within the field of artificial intelligence.

I will start by giving you a quick breakdown of my days of exploring the field of artificial intelligence.

First 50 Days

Writing generally about artificial intelligence exploring basic concepts.

Next 50–100 Days

Writing with a focus on AI Safety connecting security concerns with climate.

After 100–150 Days

AI connected to programming, international relations, quantum and 5G.

Overarching Thoughts

What is it that we want to accomplish with artificial intelligence? In the middle of a climate crisis the resource use and misuse of technology is apparent. Data has become the new oil and rapid tech expansion part of the equation, yet in a way not accounted for in most evaluations of the sustainability of different companies. It is increasingly an international security issue and regulation in the use of algorithms.

As a disclaimed I would say I am quite cheerful in regards to what we can do with technology and I have a great belief in the capability or capacity building for humanity. Yet there are some thoughts I believe we should ponder relating to artificial intelligence:

  • Ignoring the climate crisis. The climate crisis is being adversely affected by the developments in technology with ignorant use of artificial intelligence without regard of resources or energy being a great risk. Although there are positive use-cases there are overshadowed by the lack of attention to sustainability by most technology companies. As Great Thunberg says:
  • Increasing inequalities. AI can deepen inequalities and exacerbate geopolitical tensions. Deterrence theory, the adverse consequences of weaponised use, of both nuclear weapons and artificial intelligence is a productive field for humanity considering the terror that could be wrought by these two technologies combined destruction.
  • Emerging technology means power. Programming is a political activity and programming languages are governed by people. Emerging technologies such as quantum computing and 5G combined with artificial intelligence is seen as a great opportunity by states together with private actors. These developments are in many contexts seen as a ‘race’ to dominance or the best governance.

A Discussion of More Responsible AI

From my early writings I have questioned the funding of ethics in technology, yet I can see this being a pervasive issue. Regardless of the seeming situation, that ethics in technology is largely funded by the largest technology companies, it is positive to see these topics being discussed. In a most recent turn of events the Stanford Institute for Human-Centered Artificial Intelligence held a conference on Ethics, Policy, and Governance.

If you are passionate about these topics I would recommend you watch the video. You will find hours packed with information and thoughtful discussions on the consequences or possibilities of applications within artificial intelligence as well as research needed to explore apparent fault lines.

What struck me most was the coded gaze by Joy Buolamwini. It was an emotional appeal to the failure of algorithmic mismatching with real world consequences for people. However I enjoyed the talks and discussions with Marietje Schaake, and Eric Schmidt (previous CEO of Google), .

One last picture I would like to share is the slide by Jessica Cussins Newman showing a collection of different countries on priorities within different AI Security Domains. Only EU fulfils all of these in their principles:

Retrieved on the 1st of November 2019

Thank you

That being said I appreciate so incredibly much that every step of the way I have had readers who care and develop my thoughts. Readers who inspire me and are far better writers than I am. Being stopped in a corridor by someone who has read an article and has critical comments is valuable. Looking at the ‘message requests’ on my different social media channels and seeing people wanting to discuss makes me happy. It engages me too giving me energy to continue the discussion.

As I keep repeating I am so glad for the patience of my wife in my endeavour to write a new article every day. We are today celebrating our three year anniversary.

A picture from the wedding of my wedding

I wish she stays patient because I still have 349 days left of my project. However I am increasingly finding a way to navigate creating these articles during the course of the week while respecting the love of my life.

A great degree of thanks to my family who actually reads quite a few of these articles and is endlessly supportive.

Thank you to community at who allow me to discuss these topics of sustainability in a broader business context.

In addition to this I would like to thank KPMG International Development Advisory Services, my current workplace, for allowing me to approach these questions from a pragmatic practical angle. All views are my own of course, and do not express the perspectives of KPMG.

Increasingly appreciation goes to the staff at the University of Oslo for their diverse intellectual support. Since I drift between the Social Science faculty, Humanities and Computer Science (Informatics) faculty I get to speak to a variety of kind intellectuals willing to teach me more.

Thank you for being concerned with this topic and I hope you grab hold of me physically or online so we can discuss it in depth and at length to take action for increased sustainability in the field of artificial intelligence.

150 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 (today)

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

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