Ken Daley

Many have argued that human enhancement, in particular bioenhancement via genetic engineering, brain-interventions or preimplantation embryo selection, is problematic even if it can be safely implemented. Various arguments have been put forward focusing on issues such as the undermining of autonomy, uneven distribution and unfairness, and the alteration of one’s identity, amongst others. Nevertheless, few, if any, of these thinkers oppose vaccines. In what follows, I argue for the permissibility of a limited set of cognitive enhancements – in particular, the enhancement of evaluative judgment and self-control – by analogy with the permissibility of vaccines. As a result, it follows that if one accepts the permissibility of vaccines one will also, other things being equal, be committed to the permissibility of these enhancements. I then consider and respond to a number of possible objections in order to defend and clarify my position.

The presence of predictive AI has steadily expanded into ever-increasing aspects of civil society. I aim to show that despite reasons for believing the use of such systems is currently problematic, these worries give no indication of their future potential. I argue that the absence of moral limits on how we might manipulate automated systems, together with the likelihood that they are more easily manipulated in the relevant ways than humans, suggests that such systems will eventually outstrip the human ability to make accurate judgments and unbiased predictions. I begin with some reasonable justifications for the use of predictive AI. I then discuss two of the most significant reasons for believing the use of such systems is currently problematic before arguing that neither provides sufficient reason against such systems being superior in the future. In fact, there’s reason to believe they can, in principle, be preferable to human decision makers.

The past few decades have seen a substantial increase in the focus on the myriad ethical implications of artificial intelligence. Included amongst the numerous issues is the existential risk that some believe could arise from the development of artificial general intelligence (AGI) which is an as-of-yet hypothetical form of AI that is able to perform all the same intellectual feats as humans. This has led to extensive research into how humans can avoid losing control of an AI that is at least as intelligent as the best of us. This ‘control problem’ has given rise to research into the development of ‘friendly AI’ which is a highly competent AGI that will benefit, or at the very least, not be hostile toward humans. Though my question is focused upon AI, ethics and issues surrounding the value of friendliness, I want to question the pursuit of human-friendly AI (hereafter FAI). In other words, we might ask whether worries regarding harm to humans are sufficient reason to develop FAI rather than impartially ethical AGI, or an AGI designed to take the interests of all moral patients—both human and non-human—into consideration. I argue that, given that we are capable of developing AGI, it ought to be developed with impartial, species-neutral values rather than those prioritizing friendliness to humans above all else.

Jerry Fodor (Concepts: Where cognitive science went wrong. New York: Oxford University Press, 1998) famously argued that lexical concepts are unstructured. After examining the advantages and disadvantages of both the classical approach to concepts and Fodor's conceptual atomism, I argue that some lexical concepts are, in fact, structured. Roughly stated, I argue that structured lexical concepts bear a necessary biconditional entailment relation to their structural constituents. I develop this account of the structure of lexical concepts within the framework of Pavel Tichy's (The foundations of Frege's logic. Berlin, New York: De Gruyter, 1988) theory of constructions. I argue that concepts are constructions which can be combined by way of Tichy's construction-forming operations of composition and closure and an additional operation, simplification, which I propose in section 6. The last of these construction-forming operations plays a central role in my account of lexical concept structure. Stated generally, structured lexical concepts are a result of simplifying their structural constituents