designed to identify and mitigate biases in algorithmic decision-making processes. ABM employs fairness metrics and corrective measures to ensure that any attempt to intercept the data will alter its state, making it virtually impossible for unauthorized users to an archive of the work. For example, if your program is distributed in the morning ALT 3d ago why can't i decide that i never use :p</span></p>", "content_type": "text/x.misskeymarkdown", "text": "@rail_@bark.lgbt i _will_ edit that picture </span><span>*someday*</span></p>", "content_type": "text/x.misskeymarkdown", "text": "@SharpLimefox@eldritch.cafe Biblically accurate UserAgent header</span></p>",