I was just about to suggest that. Reasoning explanations behind a vote could be also valuable.
Should max upvote be associated also with factors other than user karma, such as self-assessed professional expertise (according to broad criteria)? For example, someone who works in the EU Commission on Internet of Things could assess themselves as an ‘expert’ on a question that relates to valuable actions related to a new draft of the EU AI White Paper.
Voting can also seek to ameliorate biases by highlighting underrepresented perspectives. For instance, if there is a poll about priorities related to wild animal welfare, the vote of an AI safety researcher could be weighted more heavily if the majority of other votes are of wild animal welfare researchers. Voters’ organizational affiliations, professional and cause area expertise, and relevant demographics could be considered.
Unnecessary positive discrimination should be avoided. For instance, US college graduate male and female votes on an issue that does not relate to gender or gender norms should be weighted the same while the vote of Afghani women should be weighted more than that of Afghani men on any Afghanistan-related topic. This is based on the assumptions of equal opportunities for male and female students at US colleges but historically and currently unequal decisionmaking opportunities for women and men in Afghanistan.
I was just about to suggest that. Reasoning explanations behind a vote could be also valuable.
Should max upvote be associated also with factors other than user karma, such as self-assessed professional expertise (according to broad criteria)? For example, someone who works in the EU Commission on Internet of Things could assess themselves as an ‘expert’ on a question that relates to valuable actions related to a new draft of the EU AI White Paper.
Voting can also seek to ameliorate biases by highlighting underrepresented perspectives. For instance, if there is a poll about priorities related to wild animal welfare, the vote of an AI safety researcher could be weighted more heavily if the majority of other votes are of wild animal welfare researchers. Voters’ organizational affiliations, professional and cause area expertise, and relevant demographics could be considered.
Unnecessary positive discrimination should be avoided. For instance, US college graduate male and female votes on an issue that does not relate to gender or gender norms should be weighted the same while the vote of Afghani women should be weighted more than that of Afghani men on any Afghanistan-related topic. This is based on the assumptions of equal opportunities for male and female students at US colleges but historically and currently unequal decisionmaking opportunities for women and men in Afghanistan.