Big Brother Online Free

[Robinette Ith]

Nomatter how big (or small!) your event may be, Fresh Brothers is hands-down the best pizza catering company to call on within Los Angeles, Orange County, and San Diego. Our inclusive menu features traditional and alternative pizzas, including vegetarian, vegan, and gluten-free options, to please everyone at the party.

There are a lot of people in California, which is why Fresh Brothers has a lot of locations. Our 25 pizzerias serve up goodness all throughout Los Angeles, The Valley, Orange County, and San Diego. No matter where you are, finding the best pizza isn't hard; we're always nearby!

The Fresh Brothers story starts in Chicago with the Goldberg brothers, Adam and Scott. Scott opened the Miller Pizza Company in 1985, embracing Chicago-style pizza. With the goal of taking Chicago to the coast, brother Adam and his wife Debbie opened the first Fresh Brothers in SoCal in 2008. They combined their family recipes with fresh ingredients, putting a California twist on traditional pizza. This old-school pizza with upgraded nutrition was a hit, and Fresh Brothers only grew from there.

Fresh Brothers believes in feel-good pizza, and that means going beyond the pie. In addition to providing our neighborhoods with a nutritious menu, we also play an active role in the community. Each year, we donate thousands of pizzas, helping to raise money for schools, veterans, and nonprofits. Serving up happiness, one slice at a time.

Callie is very proud of her brother Charlie. He's good at so many things - swimming, playing the piano, running fast. And Charlie has a special way with animals, especially their dog, Harriett. But sometimes Charlie gets very quiet. His words get locked inside him, and he seems far away. Then, when Callie and Charlie start to play, Charlie is back to laughing, holding hands, having fun. Charlie is like any other boy - except he has autism.

In this story, told from a sister's point of view, we meet a family whose oldest son teaches them important lessons about togetherness, hope, tolerance, and love.

Yet such technologies have also generated controversy, confusion, media interest, and even legal action against a critic (Mullin, 2021). Some students have vigorously protested being compelled to submit to such monitoring (White, 2020). Concerns have even reached the higher levels of politics, with several US senators raising worries about the discriminatory potential of the software (Chin, 2021b). Due to its contentious and sensitive nature, even researching the subject has proved difficult. For example, when Selwyn et al. interviewed Australian students, activists, and university staff, they discovered some wariness about freely expressing their views (Selwyn et al., 2021). Some universities have defended their use of OP technologies, claiming they are sufficiently safe and sometimes necessary for students to complete their degrees. Others, such as the University of Illinois in Urbana Champaign, have retreated from their initial plans for using them as a result of opposition (Chin, 2021b; White, 2020). Still others, including Oxford and Cambridge, reportedly rejected them earlier in the pandemic (Clausen, 2020). As time goes on, institutions may of course alter their attitude towards the technology.

At the root of disagreement between concerned students and some universities are questions about the ethics of OP technologies. These ethical questions have not been comprehensively studied. This essay sets outs to explore them in philosophical detail and, moreover, to do so by drawing on the field of AI ethics. The paper should assist students, educators, and institutions in making informed judgments about the appropriateness of OP systems and the safeguards needed to protect the interests of students and educators alike. But the exploration has wider implications and meaning. Online proctoring illustrates how novel digital technologies including artificial intelligence (AI) can impact in new and interesting ways, and for better and for worse, on many different aspects of our lives. Our analysis also begins to illuminate some respects in which emerging digital technologies could affect educational practice and indeed society and cultural values more broadly (Selwyn et al., 2021).

The essay is structured as follows. The Background section provides context concerning exam invigilation and the central technological capabilities of popular OP programs. The Philosophical Approach section identifies and explains central moral principles and values relevant to the OP debate. The Discussion section applies in detail the selected principles and values to the technology. Finally, the Conclusion summarizes the ethical lessons for educational institutions and others and suggests questions for them and for further research.

Because we are providing one of the first detailed ethical analyses of OP software, we need to give some relevant background concerning education, assessment, technology, and OP platforms. Digital technologies are used in education in various ways. Plagiarism detection tools like Turnitin are widely available for uncovering academic dishonesty and teaching good academic practice. Emerging AI teaching systems can adapt to the learning needs of individual pupils (Bartneck et al., 2021). AI-based predictions of student performance (Sweeney et al., 2015) have been used to create summative grades (Hern, 2020). This has sometimes caused controversy. For example, a public scandal erupted in the UK when distressed students objected to the way their grades were predicted by an algorithm after exams were cancelled during COVID-19 (Simonite, 2020). Nonetheless, many technologies are being increasingly adopted in higher education.

Companies claim that well-designed AI can also mitigate human bias and error (Proctorio, 2020) and surpass the human ability to accurately detect cheating. Video and audio recordings and analyses are typically stored for a period of weeks or months on company-owned or other servers before being deleted.

Before beginning our ethical examination, it is worth noting the four key stakeholders and their perspectives in relation to OP technologies. The stakeholders are students, educators, institutions, and companies. Some students have embraced or adapted to OP platforms, while others still strenuously object to them. Educators too have various and differing views about OP technology. Typically, students are not given the option to refuse OP platforms if they object on principle, although students with special needs may be offered alternatives. Institutions often grant discretion to educators, but this does not mean that there could not sometimes be pressure on them to use technology that the institution has paid for. OP software provides convenience and flexibility for educational institutions, but they also carry reputational risks, including adverse media attention and public relations headaches from, for example, personal data leakage and hacking. In Australia, it has tended to be the smaller universities that have most adopted them (Selwyn et al., 2021). There is a risk for educators and institutions of prosecuting misconduct against students who are innocent. Clearly, companies have strong profit-driven motivations for promoting OP options. This provides further risks for universities, not least when company personnel assist with the technical setup and the invigilation itself. Nonetheless, companies often argue that their products meet legal and ethical requirements.

Compared to the philosophy of education, AI ethics (and more broadly digital ethics) is young and still under development. AI ethics principles have occasionally been criticized for their lack of practical specificity and theoretical rigor and for sidelining wider issues of economic and racial injustice (Kind, 2020). The principles may also be misused in the prosecution of personal or corporate interests (Floridi, 2019). Additionally, principles such as fairness may be used in confusingly different ways (Mulligan et al., 2019). However, these ethical ideas provide a starting point for scrutinizing AI as a socio-technical system. Furthermore, our use of such principles goes some way toward fleshing them out and specifying their application to a novel, concrete socio-technological case. We also indicate links between these moral ideas and wider social issues and trajectories in the context of rapid technological change.

In a global survey of AI guidelines, Jobin et al. identified the ethical principles of transparency, justice and fairness, non-maleficence, responsibility, privacy, beneficence, freedom and autonomy, trust, sustainability, dignity, and solidarity (Jobin et al., 2019). In another recent study, Floridi et al. highlight the ideas of beneficence, non-maleficence, autonomy, justice, explicability, and accountability (Floridi et al., 2018). Ethical notions such as these feature in many other discussions in the AI ethics literature.

Some of the moral notions we are employing, such as autonomy and non-maleficence, feature, albeit with some differences, in the more mature tradition of medical ethics, where they have been developed in detail (Mittelstadt, 2019). Scholars are now exploring how various principles and values apply in medical ethics as AI begins to transform healthcare (Laacke et al., 2021; Quinn et al., 2021). Medical ethics developed significantly in response to abuses of human research subjects, especially disadvantaged and oppressed groups. In those cases, powerful medical, scientific, and educational institutions were often not held accountable for overriding the autonomy and the right to genuine informed consent belonging to less powerful human subjects. As in medical ethics, the ethical principles and values we deploy here may be regarded as non-committal amongst normative theories such as utilitarianism, virtue ethics, and deontology. Such theories may accommodate these so-called mid-level ethical notions (Beauchamp & Childress, 2001).

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