Most AI researchers will not want to make unFriendly AIs.

Read 'unFriendly AI' as AI that is harmful to, or misaligned with, human interests. True: surveys or other systematic evidence show that a clear majority of AI researchers do not intend or want to build harmful or misaligned AI, for example by preferring beneficial or safe outcomes. Mostly true: the majority holds, but the evidence covers only part of the field or is indirect. Mixed: the evidence is split, or roughly half express indifference to or acceptance of building such systems. Mostly false: a substantial plurality say they are willing to build AI they consider likely misaligned or harmful. False: a majority of AI researchers say they want or intend to build AI that is harmful to humans.

Set before the research began.

1. E1 2022 Expert Survey on Progress in AI [AI Impacts Wiki] AI Impacts · 4 August 2022

   “69% of respondents think society should prioritize AI safety research more or much more, up from 49% in 2016.”

2. E2 [PDF] Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract) IJCAI-22 (authors from Syracuse University, Centre for the Governance of AI, Council on Foreign Relations, University of Pennsylvania, DeepMind) · 2022

   “When asked about prioritizing AI safety an overwhelming majority of our respondents (68%) say that the field should be prioritized more than at present.”

3. E3 Thousands of AI Authors on the Future of AI arXiv (Grace et al.; AI Impacts)

   “A large majority of respondents thought that AI safety research should be prioritized more than it currently is.”

4. E4 [PDF] Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract) IJCAI-22 (authors from Syracuse University, Centre for the Governance of AI, Council on Foreign Relations, University of Pennsylvania, DeepMind) · 2022

   “31% of researchers indicate that they would resign or threaten to resign from their jobs, and 25% indicate that they would speak out publicly to the media or online, if their organization decided to work on lethal autonomous weapons.”

Independent surveys of AI researchers show that clear majorities want AI safety research prioritised more. The 2022 AI Impacts survey puts this at 69% [E1], an ML researcher survey at 68% [E2], and the later survey of thousands of AI authors calls it "a large majority" [E3]. A meaningful share of ML researchers also say they would resign or speak out if their organisation worked on lethal autonomous weapons [E4]. This points to a majority preferring safe, beneficial outcomes. But none of the surveys asks directly whether researchers want to build misaligned or harmful AI, so the evidence is indirect, which fits "mostly true" under the criteria.