Abstract

The world is witnessing a rise in speech-enabled devices serving as epistemic informants to their users. Some philosophers take the view that because the utterances produced by such machines can be phenomenologically similar to an equivalent human speech, and they may deliver the same function in terms of delivering content to their audience, such machine utterances should be conceptualized as “assertions”. This paper argues against this view and highlights the theoretical and pragmatic challenges faced by such a conceptualization which seems to be based on a “functionalist” account of assertion. Instead, the paper argues that the view that some such machine utterances can be “proxy assertions”, made on behalf of the designers and/or deployers of such machines is more tenable. Existing accounts of such a view, however, need further refinement, which is provided here. The paper then discusses implications of this view for design of such machines, particularly those enabled and equipped with machine learning capabilities.