Philip J. Nickel

According to assurance views of testimonial justification, in virtue of the act of testifying a speaker provides an assurance of the truth of what she asserts to the addressee. This assurance provides a special justificatory force and a distinctive normative status to the addressee. It is thought to explain certain asymmetries between addressees and other unintended hearers (bystanders and eavesdroppers), such as the phenomenon that the addressee has a right to blame the speaker for conveying a falsehood but unintended hearers do not, and the phenomenon that the addressee may deflect challenges to his testimonial belief to the speaker but unintended hearers may not. Here I argue that we can do a better job explaining the normative statuses associated with testimony by reference to epistemic norms of assertion and privacy norms. Following Sanford Goldberg, I argue that epistemic norms of assertion, according to which sincere assertion is appropriate only when the asserter possesses certain epistemic goods, can be ‘put to work’ to explain the normative statuses associated with testimony. When these norms are violated, they give hearers the right to blame the speaker, and they also explain why the speaker takes responsibility for the justification of the statement asserted. Norms of privacy, on the other hand, directly exclude eavesdroppers and bystanders from an informational exchange, implying that they have no standing to do many of the things, such as issue challenges or questions to the speaker, that would be normal for conversational participants. This explains asymmetries of normative status associated with testimony in a way logically independent of speaker assurance.

Some recent accounts of testimonial warrant base it on trust, and claim that doing so helps explain asymmetries between the intended recipient of testimony and other non-intended hearers, e.g. differences in their entitlement to challenge the speaker or to rebuke the speaker for lying. In this explanation ‘dependence-responsiveness’ is invoked as an essential feature of trust: the trustor believes the trustee to be motivationally responsive to the fact that the trustor is relying on the trustee. I argue that dependence-responsiveness is not essential to trust and that the asymmetries, where genuine, can be better explained without reference to trust

Some of the systems used in natural language generation (NLG), a branch of applied computational linguistics, have the capacity to create or assemble somewhat original messages adapted to new contexts. In this paper, taking Bernard Williams’ account of assertion by machines as a starting point, I argue that NLG systems meet the criteria for being speech actants to a substantial degree. They are capable of authoring original messages, and can even simulate illocutionary force and speaker meaning. Background intelligence embedded in their datasets enhances these speech capacities. Although there is an open question about who is ultimately responsible for their speech, if anybody, we can settle this question by using the notion of proxy speech, in which responsibility for artificial speech acts is assigned legally or conventionally to an entity separate from the speech actant

A person sometimes forms moral beliefs by relying on another person''s moral testimony. In this paper I advance a cognitivist normative account of this phenomenon. I argue that for a person''s actions to be morally good, they must be based on a recognition of the moral reasons bearing on action. Morality requires people to act from an understanding of moral claims, and consequently to have an understanding of moral claims relevant to action. A person sometimes fails to meet this requirement when she relies on another person''s moral testimony, and so there are moral limits on such reliance.

Technology is a practically indispensible means for satisfying one’s basic interests in all central areas of human life including nutrition, habitation, health care, entertainment, transportation, and social interaction. It is impossible for any one person, even a well-trained scientist or engineer, to know enough about how technology works in these different areas to make a calculated choice about whether to rely on the vast majority of the technologies she/he in fact relies upon. Yet, there are substantial risks, uncertainties, and unforeseen practical consequences associated with the use of technological artifacts and systems. The salience of technological failure (both catastrophic and mundane), as well as technology’s sometimes unforeseeable influence on our behavior, makes it relevant to wonder whether we are really justified as individuals in our practical reliance on technology. Of course, even if we are not justified, we might nonetheless continue in our technological reliance, since the alternatives might not be attractive or feasible. In this chapter I argue that a conception of trust in technological artifacts and systems is plausible and helps us understand what is at stake philosophically in our reliance on technology. Such an account also helps us understand the relationship between trust and technological risk and the ethical obligations of those who design, manufacture, and deploy technological artifacts.

Trust is a kind of risky reliance on another person. Social scientists have offered two basic accounts of trust: predictive expectation accounts and staking (betting) accounts. Predictive expectation accounts identify trust with a judgment that performance is likely. Staking accounts identify trust with a judgment that reliance on the person’s performance is worthwhile. I argue (1) that these two views of trust are different, (2) that the staking account is preferable to the predictive expectation account on grounds of intuitive adequacy and coherence with plausible explanations of action; and (3) that there are counterexamples to both accounts. I then set forward an additional necessary condition on trust, according to which trust implies a moral expectation. The content of the moral expectation is this: W hen A trusts B to do x, A ascribes an obligation to B to do x, and holds B to this obligation. This moral expectation account throws new light on some of the consequences of misplaced trust. I use the example of physicians’ defensive behavior to illustrate this final point.