'Scary Robots': Examining public responses to AI

How AI is perceived by the public can have significant im-pact on how it is developed, deployed and regulated. Some commentators argue that perceptions are currently distorted or extreme. This paper discusses the results of a nationally representative survey of the UK population on their percep-tions of AI. The survey solicited responses to eight common narratives about AI (four optimistic, four pessimistic), plus views on what AI is, how likely it is to impact in respond-ents’ lifetimes, and whether they can influence it. 42% of respondents offered a plausible definition of AI, while 25% thought it meant robots. Of the narratives presented, those associated with automation were best known, followed by the idea that AI would become more powerful than humans. Overall results showed that the most common visions of the impact of AI elicit significant anxiety. Only two of the eight narratives elicited more excitement than concern (AI making life easier, and extending life). Respondents felt they had no control over AI’s development, citing the power of corpora-tions or government, or versions of technological determin-ism. Negotiating the deployment of AI will require contend-ing with these anxieties.Drs Cave and Dihal are funded by a Leverhulme Trust Research Centre Grant awarded to the Leverhulme Centre for the Future of Intelligenc

Imagining a Future with Intelligent Machines A Middle Eastern and North African Perspective

Narratives about intelligent machines can influence the development, adoption, reception and regulation of artificial intelligence (AI). The Middle East and North Africa (MENA) region is hugely overlooked by the Western mainstream when it comes to discussing the future of artificial intelligence. Recognizing the vital importance of diversity in the global debate on what AI is and should be, this report examines the narratives about technological futures spreading in the Arab world

Race and AI: the Diversity Dilemma

Funder: DeepMindFunder: Templeton World Charity Foundation; doi: http://dx.doi.org/10.13039/501100011730AbstractThis commentary is a response to ‘More than Skin Deep’ by Shelley M. Park (Park, More than skin deep: A response to “The Whiteness of AI”, Philosophy &amp; Technology, 2021), and a development of our own 2020 paper ‘The Whiteness of AI’. We aim to explain how representations of AI can be varied in one sense, whilst not being diverse. We argue that Whiteness’s claim to universal humanity permits a broad range of roles to White humans and White-presenting machines, whilst assigning a much narrower range of stereotypical roles to people of colour. Because the attributes of AI in the popular imagination, such as intelligence, power and passing as human, are associated by the White racial frame with Whiteness, AI is cast predominantly as White. Following Sparrow (Science, Technology, &amp; Human Values 45:538–560, 2020), we suggest this presents a dilemma for those creating or representing AI. We discuss three possible solutions: avoiding anthropomorphisation, explicitly critiquing racial role-typing, and representing powerful AI as non-White.</jats:p

The Whiteness of AI

Abstract: This paper focuses on the fact that AI is predominantly portrayed as white—in colour, ethnicity, or both. We first illustrate the prevalent Whiteness of real and imagined intelligent machines in four categories: humanoid robots, chatbots and virtual assistants, stock images of AI, and portrayals of AI in film and television. We then offer three interpretations of the Whiteness of AI, drawing on critical race theory, particularly the idea of the White racial frame. First, we examine the extent to which this Whiteness might simply reflect the predominantly White milieus from which these artefacts arise. Second, we argue that to imagine machines that are intelligent, professional, or powerful is to imagine White machines because the White racial frame ascribes these attributes predominantly to White people. Third, we argue that AI racialised as White allows for a full erasure of people of colour from the White utopian imaginary. Finally, we examine potential consequences of the racialisation of AI, arguing it could exacerbate bias and misdirect concern

Portrayals and perceptions of AI and why they matter

How researchers, communicators, policymakers, and publics talk about technology matters. Shared understandings about the nature, promise and risks of new technologies develop through the explicit or implicit stories that different groups tell about technology and its place in our lives. The AI narratives project – a joint endeavour by the Leverhulme Centre for the Future of Intelligence and the Royal Society – has been examining which narratives currently influence public debates about AI, and how these portrayals might shape public perceptions of the capabilities, risks, and benefits of AI technologies. Many of the current ideas about AI technologies that are pervasive in public consciousness – typically that AI is an embodied, super-human intelligence – are shaped by hundreds of years of stories that people have told about humans and machines, and our places in the world. This cultural hinterland shapes how AI is portrayed in media, culture, and everyday discussion; it influences what societies find concerning – or exciting – about technological developments; and it affects how different publics relate to AI technologies. Building a well-founded public dialogue about AI technologies will be key to continued public confidence in the systems that deploy AI technologies, and to realising the benefits they promise across sectors. Since the launch of the machine learning project, the Royal Society has been creating spaces for public discussion about AI technologies, and their implications for society. In a series of four workshops, the Royal Society and Leverhulme Centre for the Future of Intelligence explored: which narratives around intelligent machines are most prevalent, and their historical roots; what can be learned from how the narrative around other complex, new technologies developed, and the impact of these; how narratives are shaping the development of AI, and the role of arts and media in this process; and the implications of current AI narratives for researchers and communicators. The report brings together the conclusions of these workshops, and is for anyone interested in how AI is portrayed and perceived.Drs Cave, Dihal, and Dillon are funded by a Leverhulme Trust Research Centre Grant awarded to the Leverhulme Centre for the Future of Intelligence. Dr Singler was funded by a Templeton World Charitable Foundation grant during the course of the AI narratives project, awarded to the Faraday Institute for Science and Religion, St Edmund's College, Cambridge

BRAF mutation-specific promoter methylation of FOX genes in colorectal cancer

Background: Cancer-specific hypermethylation of (promoter) CpG islands is common during the tumorigenesis of colon cancer. Although associations between certain genetic aberrations, such as BRAF mutation and microsatellite instability, and the CpG island methylator phenotype (CIMP), have been found, the mechanisms by which these associations are established are still unclear. We studied genome-wide DNA methylation differences between

The homeobox gene MEIS1 is methylated in BRAFp.V600E mutated colon tumors

Development of colorectal cancer (CRC) can occur both via gene mutations in tumor suppressor genes and oncogenes, as well as via epigenetic changes, including DNA methylation. Site-specific methylation in CRC regulates expression of tumor-associated genes. Right-sided colon tumors more frequently have BRAFp.V600E mutations and have higher methylation grades when compared to left-sided malignancies. The aim of this study was to identify DNA methylation changes associated with BRAFp.V600E mutation status. We performed methylation profiling of colon tumor DNA, isolated from frozen sections enriched for epithelial cells by macro-dissection, and from paired healthy tissue. Single gene analyses comparing BRAFp.V600E with BRAF wild type revealed MEIS1 as the most significant differentially methylated gene (log2 fold change: 0.89, false discovery rate-adjusted P-value 2.8*10-9). This finding was validated by methylation-specific PCR that was concordant with the microarray data. Additionally, validation in an independent cohort (n=228) showed a significant association between BRAF p.V600E and MEIS1 methylation (OR: 13.0, 95% CI: 5.2 - 33.0, P<0.0001). MEIS1 methylation was associated with decreased MEIS1 gene expression in both patient samples and CRC cell lines. The same was true for gene expression of a truncated form of MEIS1, MEIS1D27, which misses exon 8 and has a proposed tumor suppression function. To trace the origin of MEIS1 promoter methylation, 14 colorectal tumors were flow-sorted. Four out of eight BRAFp.V600E tumor epithelial fractions (50%) showed MEIS1 promoter methylation, as well as three out of eight BRAFp.V600E stromal fractions (38%). Only one out of six BRAF wild type showed MEIS1 promoter methylation in both the epithelial tumor and stromal fractions (17%). In conclusion, BRAFp.V600E colon tumors showed significant MEIS1 promoter methylation, which was associated with decreased MEIS1 gene expression. Copyright

Cleavage of the actin-capping protein alpha -adducin at Asp-Asp-Ser-Asp633-Ala by caspase-3 is preceded by its phosphorylation on serine 726 in cisplatin-induced apoptosis of renal epithelial cells

Decreased phosphorylation of focal adhesion kinase and paxillin is associated with loss of focal adhesions and stress fibers and precedes the onset of apoptosis (van de Water, B., Nagelkerke, J. F., and Stevens, J. L. (1999) J. Biol. Chem. 274, 13328-13337). The cortical actin cytoskeletal network is also lost during apoptosis, yet little is known about the temporal relationship between altered phosphorylation of proteins that are critical in the regulation of this network and their potential cleavage by caspases during apoptosis. Adducins are central in the cortical actin network organization. Cisplatin caused apoptosis of renal proximal tubular epithelial cells, which was associated with the cleavage of alpha-adducin into a 74-kDa fragment; this was blocked by a general caspase inhibitor benzyloxycarbonyl-Val-Ala-Asp-fluoromethyl ketone (z-VAD-fmk). Hemagglutinin-tagged human alpha-adducin was cleaved into a similar 74-kDa fragment by caspase-3 in vitro but not by caspase-6 or -7. Asp-Arg-Val-Asp(29)-Glu, Asp-Ile-Val-Asp(208)-Arg, and Asp-Asp-Ser-Asp(633)-Ala were identified as the principal caspase-3 cleavage sites; Asp-Asp-Ser-Asp(633)-Ala was key in the formation of the 74-kDa fragment. Cisplatin also caused an increased phosphorylation of alpha-adducin and gamma-adducin in the MARCKS domain that preceded alpha-adducin cleavage and was associated with loss of adducins from adherens junctions; this was not affected by z-VAD-fmk. In conclusion, the data support a model in which increased phosphorylation of alpha-adducin due to cisplatin leads to dissociation from the cytoskeleton, a situation rendered irreversible by caspase-3-mediated cleavage of alpha-adducin at Asp-Asp-Ser-Asp(633)-Ala.Toxicolog

Antiproliferation and Redifferentiation in Thyroid Cancer Cell Lines by Polyphenol Phytochemicals

Thyroid carcinogenesis is accompanied by loss of thyroid-specific functions and refractory to radioiodine and thyroid stimulating hormone (TSH) suppression therapy. Redifferentiating agents have been shown to inhibit tumor growth and improve the response to conventional therapy. Polyphenol phytochemicals (PPs) in fruits and vegetables have been reported to inhibit cancer initiation, promotion, progression and induce redifferentiation in selected types. In this study we examined PPs induce redifferentiation in thyroid cancer cell lines. We investigated the effects of genistein, resveratrol, quercetin, kaempferol, and resorcinol on the F9 embryonal carcinoma cell differentiation model. The thyroid cancer cell lines, TPC-1, FTC-133, NPA, FRO, and ARO, displayed growth inhibition in response to genistein, resveratrol, quercetin. We further demonstrated that genistein decreased the dedifferention marker CD97 in NPA cells and resveratrol decreased CD97 in FTC-133, NPA, FRO cells and quercetin decreased CD97 in all cell lines. We observed increased expression of differentiation marker NIS in FTC-133 cells in response to genistein, and resveratrol but no change in NPA, FRO, ARO cells. Quercetin increased or induced NIS in FTC-133, NPA, FRO cells. These findings suggest that PPs may provide a useful therapeutic intervention in thyroid cancer redifferentiation therapy

Chemical Reaction of Soybean Flavonoids with DNA: A Computational Study Using the Implicit Solvent Model

Genistein, daidzein, glycitein and quercetin are flavonoids present in soybean and other vegetables in high amounts. These flavonoids can be metabolically converted to more active forms, which may react with guanine in the DNA to form complexes and can lead to DNA depurination. We assumed two ultimate carcinogen forms of each of these flavonoids, diol epoxide form and diketone form. Density functional theory (DFT) and Hartree-Fock (HF) methods were used to study the reaction thermodynamics between active forms of flavonoids and DNA guanine. Solvent reaction field method of Tomasi and co-workers and the Langevin dipoles method of Florian and Warshel were used to calculate the hydration free energies. Activation free energy for each reaction was estimated using the linear free energy relation. Our calculations show that diol epoxide forms of flavonoids are more reactive than the corresponding diketone forms and are hence more likely flavonoid ultimate carcinogens. Genistein, daidzein and glycitein show comparable reactivity while quercetin is less reactive toward DNA