What Was Artificial Intelligence?

When it was originally published in 2002, Sue Curry Jansen’s “What Was Artificial Intelligence?” attracted little notice. The long essay was published as a chapter in Jansen’s Critical Communication Theory, a book whose wisdom and erudition failed to register across the many fields it addressed. One explanation for the neglect, ironic and telling, is that Jansen’s sheer scope as an intellectual had few competent readers in the communication studies discipline into which she published the book. “What Was Artificial Intelligence?” was buried treasure. In this mediastudies.press edition, Jansen’s prescient autopsy of AI self-selling—the rhetoric of the masculinist sublime—is reprinted with a new introduction. Now an open access book, “What Was Artificial Intelligence?” is a message in a bottle, addressed to Musk, Bezos, and the latest generation of AI myth-makers

What Was Artificial Intelligence?

When it was originally published in 2002, Sue Curry Jansen’s “What Was Artificial Intelligence?” attracted little notice. The long essay was published as a chapter in Jansen’s Critical Communication Theory, a book whose wisdom and erudition failed to register across the many fields it addressed. One explanation for the neglect, ironic and telling, is that Jansen’s sheer scope as an intellectual had few competent readers in the communication studies discipline into which she published the book. “What Was Artificial Intelligence?” was buried treasure. In this mediastudies.press edition, Jansen’s prescient autopsy of AI self-selling—the rhetoric of the masculinist sublime—is reprinted with a new introduction. Now an open access book, “What Was Artificial Intelligence?” is a message in a bottle, addressed to Musk, Bezos, and the latest generation of AI myth-makers

The Streisand effect and censorship backfire

Barbra Streisand\u27s attempt to restrict online views of her residence on a public website had the paradoxical effect of leading to many more views than if she had done nothing. Subsequently, attempts at censorship that end up being counterproductive have been dubbed the Streisand effect. To better understand the dynamics of the Streisand effect, we examine five tactics used by censors to reduce outrage from their actions: (1) hiding the existence of censorship; (2) devaluing targets of censorship; (3) reinterpreting actions by lying, minimizing consequences, blaming others, and using benign framing; (4) using official channels to give an appearance of justice; and (5) intimidating opponents. Within this framework, the Streisand effect can be understood as a special outcome of censorship attempts, one in which the methods used to reduce outrage did not succeed

To achieve visible impacts horizon Europe must connect to local innovation dynamics

The European Commission aims to use the new Framework Programme for research and innovation – Horizon Europe – to demonstrate to a greater extent than previously that public investments in research and innovation result in real benefits for society. Drawing on research from the Rathenau Instituut, Laurens Hessels, Sue-Yen Tjong Tjin Tai, Julia Jansen and Jasper Deuten, argue that this ambition can only be achieved if the Commission can link European programmes to the interests of localities in ways that also deliver long term transformational changes

The Streisand Effect and Censorship Backfire

Barbra Streisand's attempt to restrict online views of her residence on a public website had the paradoxical effect of leading to many more views than if she had done nothing. Subsequently, attempts at censorship that end up being counterproductive have been dubbed the "Streisand effect." To better understand the dynamics of the Streisand effect, we examine five tactics used by censors to reduce outrage from their actions

Are we over-treating with checkpoint inhibitors?

Anti-PD-1 antibodies offer potentially life-saving treatment for some cancer patients, but their chronic administration generates high and ever-increasing costs. Despite licensing for long-term use, optimal treatment duration is unknown. We challenge the need for long-term treatment duration, using evidence from melanoma research, both published and in process

Effect of atrioventricular optimization on circulating N-terminal pro brain natriuretic peptide following cardiac resynchronization therapy.

AIMS: Following CRT, atrioventricular (AV) optimization is not routinely practised. To evaluate its clinical utility, we examined the effect of AV delay optimization on the prognostic biomarker NT-proBNP. METHODS AND RESULTS: We prospectively studied 72 patients (mean age 73 ± 12.5 years, 70.8% male, 55.6% ischaemic) undergoing iterative AV optimization. Patients were divided into those whose nominal setting appeared ideal and not changed (Group 1, n = 22) and those whose AV delay was optimized (Group 2, n = 50). All patients underwent NT-proBNP assessment prior to CRT, and pre- and a median 5 days post-optimization. Compared with Group 1, NT-proBNP fell significantly in Group 2 patients (median 474 pg/mL) following optimization (P = 0.00001). A significant change in filling pattern (defined as a change in AV delay >50 ms) was required in 30% of patients, and it was this subgroup that derived the greater reduction in NT-proBNP levels [-1407 pg/mL, interquartile range (IQR) -3042 to -346 pg/mL] compared with those requiring <50 ms AV delay change (-125 pg/mL, IQR -1038 to 6 pg/mL), P = 0.0011. The benefit of AV optimization was principally observed in reverse remodelling non-responders (median -2167 pg/mL, IQR -3042 to -305 pg/mL) and in patients with a pseudonormal or restrictive filling pattern (median -1407 pg/mL, IQR -2809 to -342 pg/mL), compared with those with more benign diastolic filling (median - 264 pg/mL, IQR -1038 to -21 pg/mL), P = 0.033. CONCLUSIONS: In one-third of patients, major filling pattern changes are achieved with AV optimization, associated with subsequent rapid falls in NT-proBNP. The greater the AV delay change, the larger the NT-proBNP fall, and non-responders and those with restrictive or pseudonormal filling despite CRT are most likely to benefit

Low-frequency drug-resistant HIV-1 and risk of virological failure to first-line NNRTI-based ART: a multicohort European case-control study using centralized ultrasensitive 454 pyrosequencing

Objectives It is still debated if pre-existing minority drug-resistant HIV-1 variants (MVs) affect the virological outcomes of first-line NNRTI-containing ART. Methods This Europe-wide case-control study included ART-naive subjects infected with drug-susceptible HIV-1 as revealed by population sequencing, who achieved virological suppression on first-line ART including one NNRTI. Cases experienced virological failure and controls were subjects from the same cohort whose viraemia remained suppressed at a matched time since initiation of ART. Blinded, centralized 454 pyrosequencing with parallel bioinformatic analysis in two laboratories was used to identify MVs in the 1%-25% frequency range. ORs of virological failure according to MV detection were estimated by logistic regression. Results Two hundred and sixty samples (76 cases and 184 controls), mostly subtype B (73.5%), were used for the analysis. Identical MVs were detected in the two laboratories. 31.6% of cases and 16.8% of controls harboured pre-existing MVs. Detection of at least one MV versus no MVs was associated with an increased risk of virological failure (OR = 2.75, 95% CI = 1.35-5.60, P = 0.005); similar associations were observed for at least one MV versus no NRTI MVs (OR = 2.27, 95% CI = 0.76-6.77, P = 0.140) and at least one MV versus no NNRTI MVs (OR = 2.41, 95% CI = 1.12-5.18, P = 0.024). A dose-effect relationship between virological failure and mutational load was found. Conclusions Pre-existing MVs more than double the risk of virological failure to first-line NNRTI-based AR