22 found
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  1. Ethical funding for trustworthy AI: proposals to address the responsibilities of funders to ensure that projects adhere to trustworthy AI practice.Marie Oldfield - 2021 - AI and Ethics 1 (1):1.
    AI systems that demonstrate significant bias or lower than claimed accuracy, and resulting in individual and societal harms, continue to be reported. Such reports beg the question as to why such systems continue to be funded, developed and deployed despite the many published ethical AI principles. This paper focusses on the funding processes for AI research grants which we have identified as a gap in the current range of ethical AI solutions such as AI procurement guidelines, AI impact assessments and (...)
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  2. Analytical Modelling and UK Government Policy.Marie Oldfield - 2021 - AI and Ethics 1 (1):1-16.
    In the last decade, the UK Government has attempted to implement improved processes and procedures in modelling and analysis in response to the Laidlaw report of 2012 and the Macpherson review of 2013. The Laidlaw report was commissioned after failings during the Intercity West Coast Rail (ICWC) Franchise procurement exercise by the Department for Transport (DfT) that led to a legal challenge of the analytical models used within the exercise. The Macpherson review looked into the quality assurance of Government analytical (...)
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  3. Call for Written evidence - Risk Assessment and Risk Planning.Marie Oldfield - 2021 - UK Government Risk Enquiry.
  4. Unequal sample sizes and the use of larger control groups pertaining to power of a study.Marie Oldfield - 2016 - Dstl 1 (1).
    To date researchers planning experiments have always lived by the mantra that 'using equal sample sizes gives the best results' and although unequal groups are also used in experimentation, it is not the preferred method of many and indeed actively discouraged in literature. However, during live study planning there are other considerations that we must take into account such as availability of study participants, statistical power and, indeed, the cost of the study. These can all make allocating equal sample sizes (...)
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  5. An unstable environment: The economic case for getting asylum decisions right first time.Marie Oldfield - 2022 - Pro Bono Economics 1 (1).
    Marie Oldfield, Pro Bono Economics & Refugee Council. Over half the total applications for asylum the UK receives each year are initially rejected, yet nearly a third of these initial rejections are subsequently overturned on appeal. This process that fails to get decisions right first time imposes significant costs, not just on the applicants themselves, but also more widely on UK taxpayers. Asylum seekers are not entitled to welfare benefits nor employment except in some limited cases, and are often placed (...)
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  6. Conflict Contagion.Marie Oldfield - 2015 - Institute of Mathematics and its Applications 1.
    With an increased emphasis on upstream activity and Defence Engagement, it has become increasingly more important for the UK Ministry of Defence (MOD) and government to understand the relationship between conflict and regional instability. As part of this process, the Historical and Operational Data Analysis Team (HODA) in Defence Science and Technology Laboratory (Dstl) was tasked to look at factors that influenced the regional spread of internal conflicts to help aid the decision making of government. Conflict contagion is the process (...)
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  7. The future of condition based monitoring: risks of operator removal on complex platforms.Marie Oldfield, Murray McMonies & Ella Haig - 2022 - AI and Society 2:1-12.
    Complex systems are difficult to manage, operate and maintain. This is why we see teams of highly specialised engineers in industries such as aerospace, nuclear and subsurface. Condition based monitoring is also employed to maximise the efficiency of extensive maintenance programmes instead of using periodic maintenance. A level of automation is often required in such complex engineering platforms in order to effectively and safely manage them. Advances in Artificial Intelligence related technologies have offered greater levels of automation but this potentially (...)
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  8.  24
    Anthropomorphism and its Impact on the Implementation and Perception of AI.Marie Oldfield - 2023 - In Joan Casas-Roma, Jordi Conesa & Santi Caballé (eds.), Technology, Users and Uses: Ethics and Human Interaction Through Technology and AI. Ethics Press. pp. 99-134.
    Historically, Anthropomorphism is a technique used by humans to make sense of their surroundings. More recently, anthropomorphism has been widely used as a technique to influence consumers to purchase goods or services. These techniques can entice consumers into buying something to fulfil a gap or desire in their life, ranging from loneliness to the desire to be exclusive. By manipulating belief systems, consumer behaviour can be exploited. Anthropomorphism can encourage society to use inappropriate emotional attachments and faulty frameworks to understand (...)
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  9. Cyber Security and Dehumanisation.Marie Oldfield - 2021 - 5Th Digital Geographies Research Group Annual Symposium.
    Artificial Intelligence is becoming widespread and as we continue ask ‘can we implement this’ we neglect to ask ‘should we implement this’. There are various frameworks and conceptual journeys one should take to ensure a robust AI product; context is one of the vital parts of this. AI is now expected to make decisions, from deciding who gets a credit card to cancer diagnosis. These decisions affect most, if not all, of society. As developers if we do not understand or (...)
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  10. Is Clayton correct to say that parental power should be constrained in the same way as state power, and for the same reasons?Marie Oldfield - manuscript
    This paper discusses Claytons theory on Comprehensive enrolment of children by their parents. This paper supports Claytons view that we should not enrol children. However, Cameron raises objections which cause problems for the application of this framework. Namely, the cost of giving up a belief, choices made for us in childhood and the application of the PRR (Public Reason Restriction) to the way the parent-child relationship should function. Some modifications to Clayton’s framework and further debate is required to fully address (...)
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  11. Government transparency and accountability during Covid 19: The data underpinning decisions.Marie Oldfield - 2021 - Https://Committees.Parliament.Uk/Publications/5076/Documents/50285/Default/.
    Government transparency and accountability during Covid 19: The data underpinning decisions.
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  12. Why interdisciplinary research in AI is so important, according to Jurassic Park.Marie Oldfield - 2020 - The Tech Magazine 1 (1):1.
    Why interdisciplinary research in AI is so important, according to Jurassic Park. -/- “Your scientists were so preoccupied with whether or not they could, they didn’t stop to think if they should.” -/- I think this quote resonates with us now more than ever, especially in the world of technological development. The writers of Jurassic Park were years ahead of their time with this powerful quote. -/- As we build new technology, and we push on to see what can actually (...)
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  13. Towards Pedagogy supporting Ethics in Analysis.Marie Oldfield - 2022 - Journal of Humanistic Mathematics 12 (2).
    Over the past few years we have seen an increasing number of legal proceedings related to inappropriately implemented technology. At the same time career paths have diverged from the foundation of statistics out to Data Scientist, Machine Learning and AI. All of these new branches being fundamentally branches of statistics and mathematics. This has meant that formal training has struggled to keep up with what is required in the plethora of new roles. Mathematics as a taught subject is still based (...)
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  14. Parliamentary Call for evidence Written evidence -Data Transparency and Accountability: Covid 19.Marie Oldfield - 2020 - UK Government.
    Call for evidence Written evidence - Data Transparency and Accountability: Covid 19 -/- .
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  15. Is Micheal Garnett's Theory of Coercion Correct.Marie Oldfield - manuscript
    What is coercion and why do we care? Coercion is widespread and used especially when raising children, but on its darker side coercion can have devastating consequences. We are worried about coercion as it can invalidate consent. This is seen in the USA where campus rape cases have soared in recent years and brought consent and coercion back to the forefront of debate. Coercion is a hotly debated legal, political and ethical concept. However, in all this debate we have seen (...)
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  16. Is Anger Ever Appropriate.Marie Oldfield - manuscript
    Emotions are an everyday occurrence. Much work has been done into what the point of emotion is and what part emotions might play in our lives. The great impact emotions have on our lives means it’s not surprising that great philosophers have studied them over the centuries. Anger is an emotion that we encounter every day and most of us are very familiar with. Anger is a response to some ‘wrongfully’ inflicted damage to someone or something that one cares about. (...)
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  17. Is Belief Justified only if it qualifies as Knowledge.Marie Oldfield - manuscript
    In this paper I will first examine Williamsons case where he posits that ‘Justified Belief’ is not acceptable to use in the cases where one is deceived in some way, regardless of how the belief has been formed. Williamson aims to eradicate the use of the term ‘justified’ in these cases and instead impose the term unjustified but blameless. I counter this by suggesting that Williamson sets the bar too high to attain knowledge and does not give enough weight to (...)
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  18.  13
    Technical challenges and perception: does AI have a PR issue?Marie Oldfield - 2023 - AI and Ethics 1 (1).
    Increasingly, models have been highlighted that not only disadvantage society but those whom the model was originally designed to benefit. An increasing number of legal challenges around the world illustrates this. A surge of recent work has focussed on the technical, legal or regulatory challenges but not necessarily the real-world day to day challenges for practitioners such as data collection or fairness by design. Since the publication of the Holstein et al.’s study in 2019, additional legislation, regulation and multiple bodies (...)
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  19.  10
    Black Mirror is already here - should we be afraid.Marie Oldfield - 2022 - Business Cloud 1.
    The dystopian tale has a special place in our shared cultural heritage. -/- Many of us will have a favourite, or perhaps several. I myself adored the 1984 and The Handmaid’s Tale books as a youngster; moved on to JG Ballard then discovered Philip K. Dick thanks to Minority Report; and in recent years was floored by Black Mirror episodes and videogames such as The Last of Us. -/- The thrill can be explained by one question: ‘What if this horror (...)
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  20. The Future of Condition Based Monitoring:Risks of Operator Removal on ComplexPlatforms.Marie Oldfield - manuscript
    Complex platforms are very difficult to manage and maintain. This iswhy we see teams of engineers, many highly specialised, that carry outthis role for industries such as aerospace, nuclear and subsurface. It is acritical undertaking to maintain the aforementioned systems, which oftenhave components at varying degrees of degradation. To maintain com-plex systems, Condition Based Monitoring (CBM) (a type of predictivemaintenance that uses sensors to measure the status of an asset over timewhile it is in operation) is most frequently used. Artificial (...)
     
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  21.  7
    How Humans can Positively Interact with Technology.Marie Oldfield - 2022 - InfoSec 1.
    Digital technology has advanced more rapidly than ever before in the last 20 years. However, people may not be likely to understand the risks of this technology. This is due to developers not being transparent about functionality. This development has also far outpaced educational provision in schools, leading to a world in which we are encouraged to engage with digital technology, but we don’t quite understand it, how it works or what it does; therefore, if our data is harvested and (...)
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  22. Will AI take away your job? [REVIEW]Marie Oldfield - 2020 - Tech Magazine.
    Will AI take away your job? The answer is probably not. AI systems can be good predictive systems and be very good at pattern recognition. AI systems have a very repetitive approach to sets of data, which can be useful in certain circumstances. However, AI does make obvious mistakes. This is because AI does not have a sense of context. As Humans we have years of experience in the real world. We have vast amounts of contextual data stored in our (...)
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