entrepreneurship, 43
poaching, 29
Rosa Boswell, 114–115
AI. See Artificial intelligence
AI bias, 21. See also Data privacy: data visibility
algorithmic discrimination, 23, 29, 84
biased datasets, 28, 72–73, 96, 112–113
Don Norman, 112
global datasets, 27
Meta, 96
Microsoft, 96
Spotify, 96
AI for Good, 21, 22, 31, 98, 110
Amanda Gengler, 97
Anna Bethke, 30 (see also Poaching)
anti-cyberbullying, 84
ChatGPT, 108
conservation, 29, 31, 33, 35, 115
content moderation, 79
Goodness Bot, 83–84
machine learning, 34, 44, 94, 96
Seeing AI, 97
Anghami, 43–44. See also Creator economy: live streaming
Artificial intelligence, 21, 22. See also AI for Good
AI solutions, 22
Google AI, 22
Attention metrics, 39, 50, 59, 61, 66
Audience, 63–64, 67. See also Attention metrics
Bretton Woods, 25, 26. See also AI for Good
Bruno Le Maire, 26
Joy Buolamwini, 26, 29 (see also Gender bias)
Mariana Mazzucato, 26
Ronaldo Lemos, 26
Rumman Chowdhury, 26
Tim O’Reilly, 26
Censorship, 67, 71, 72, 73, 88, 96. See also Surveillance
Chinese government, 71–73
Indonesia’s Internet Sehat program, 65
Jeroen De Kloet, 71
Jian Lin, 71
Kiran Bhatia, 77
Mahwish Gul, 68
Manisha Pathak-Shelat, 77
Centre for Internet and Society (CIS), 88
China, 26, 30, 40–42, 45, 65, 73, 79, 81, 83
Belt and Road Initiative (BRI), 26
censorship, 71–73
global innovation, 40
Taobao, 42
Xiaowei Wang, 117
Colonial mindset, 24, 69, 106, 116
Ann Laura Stoler, 95
creative tax, 58
cultural shame, 69
geopolitical shifts, 41
Jane Goodall, 106
Lord Macaulay, 24
Robert Malthus, 106
Rudyard Kipling, 24
vernacular design, 57–58
Western minimalism, 57 (see also Etsy)
Conservation, 29, 31, 33. See also AI for Good
Natasha Rusch, 33
wildlife trade, 30 (see also Poaching)
Creator economy, 39, 42, 45, 46, 48–49, 60–61, 70
Amartya Sen, 41
attribution, 53
Canva, 55
creative tools, 49
live streaming, 42, 45, 65, 72, 75
niche, 50–52
Richard Florida, 46
17Media, 75
Taobao, 42
Data piracy, 43. See also Tech entrepreneurs
attribution, 53
data usage, 44
Elie Habib, 43
subscriptions, 44
body positivity, 84
data visibility, 26–27, 28, 45, 108, 114 (see also AI bias: algorithmic discrimination)
online solidarity, 83
Worldcoin, 108–109
Design for Planet Festival, 102, 111. See also Sustainability
Indy Johar, 111
Kate Raworth, 102
Digital economy, 45
attention economy, 90
rating system, 92
L’amour, 73–74
Roberto Walter, 76
Rohangis Mohseni, 76
Samarth Bansal, 74–75
sexbots, 75
Snigdha Poonam, 74–75
Empathetic AI, 33, 94, 98, 112
Michael Bennett, 33
Sylvie Borau, 98
Yoshihiro Maruyama, 33
Empathy, 31, 94, 95, 112. See also Mental health
Amanda Gengler, 97
collective, 82
Deborah Lupton, 112–113
for poachers’ aspirations, 32
William M. Reddy, 95
Etsy, 54
European Union, 101
Evil by Design (Nodder), 23
Facebook, 51, 65, 67, 74–75, 77, 82
Love Matters Arabic, 66
Love Matters Naija, 65
Sandy Abdelmessih, 66
FemLab, 86
Pallavi Bansal, 91
France, 26
Bruno Le Maire, 26 (see also Bretton Woods)
Francis (Pope), 22
Frugality, 103, 107, 117. See also Sustainability
Chinni Krishnan, 118
C. K. Prahalad, 117
Roldan Muradian, 107
Gender bias, 29, 73, 90–91. See also AI bias
female drivers, 91–92
Taxshe, 91
Google, 22
Fei-Fei Li, 22
Google AI, 22
Indonesia, and censorship, 65
Influencers, 47, 65, 71–73, 83
Kili Paul, 51
Li Tuanyou (Tian You), 72
Neel Ranaut, 50
Neema Paul, 51
Salan, 71
Trupti Shirodkar, 47
Informal economy, 89, 100. See also FemLab
e-Shram portal, 89
Innovation, 103–104. See also Self-teaching
Unified Payment Interface (UPI), 42
International Development Research Centre (IDRC), 86
International Finance Corporation, 101
Mental health, 98–99. See also Empathy
Calm, 98
I Am, 98
Moodpath, 98
Virtual Hope Box, 98
Micro entrepreneurs, 50–51
Goodboy Kitchen, 50
Microsoft, 22
Brad Smith, 22 (see also AI for Good)
Next billion users, 25, 28, 44, 108
Bitcoin, 109–110
digital leisure, 49
next billion creatives, 42
Nigeria, 65
Nodder, Chris: Evil by Design, 23
Nongovernmental organizations (NGOs), 34
Malilangwe Trust, 34–35
Painted Dog Conservation, 34, 36
Panda Masuie Project, 35
Nonprofits
Azad Foundation, 91
Neeva Foundation, 91
PlanetRead, 111
Rhino 911, 36
TRAFFIC, 30
wet market trade, 30
World Wildlife Fund (WWF), 30, 35 (see also Conservation)
Raman, Usha, 86. See also FemLab
Reliance Jio, 44
Chris Stokel-Walker, 69
creative communities, 59
hashtag networks, 52–53
jugaad, 59
Pornhub, 69, 70, 73 (see also Sex education)
TikTok, 70
YouTube, 69
Sex education, 68, 69, 70. See also Self-teaching: Pornhub
Pallavi Barnwal, 70
Stacy Friedman, 70
Sexuality, 64, 66. See also Teen desires
Blued, 72
dating apps, 72
FRND, 79
pleasure, 73
Secret app, 78
Social Dilemma, The (Netflix film), 37
Social entrepreneurs, 54
Bengal Muslin, 54
Shimmy, 54
family, 93
Internet Sehat (Healthy Internet), 65
of intimacy, 73
Jacqueline Holler, 95
Jessica Vitak, 88
Murakami Wood, 86
Rodrigo Firmino, 86
workplace, 87
Sustainability, 101–102, 103, 107, 120
Dariusz Wójcik, 115
Eduardo Kohn, 115
Indigenous communities, 103, 105, 107
Sunderlal Bahuguna, 105
Teal Lehto, 115
Sustainable Development Goals (SDGs), 22. See also United Nations
Tech entrepreneurs, 43
Elie Habib, 43
Sam Altman, 108
Tech philanthropy, 25. See also AI for Good
Teen desires, 40. See also Sexuality
moral policing, 65, 73, 76, 77–78
Tinder, 74
United Nations (UN), 22, 25, 101–102
International Monetary Fund (IMF), 25
World Health Organization (WHO), 118
YouTube, 47, 49, 58, 69, 81, 83, 111. See also Self-teaching