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Performance Enhancing Drugs and the Olympics

By C. James Watson , Genevra L. Stone, Daniel L. Overbeek1, Takuyo Chiba & Michele M. Burns

The rules of fair play in sport generally prohibit the use of performance-enhancing drugs (PEDs). The World Anti-Doping Agency (WADA)

oversees global antidoping regulations and testing for elite athletes participating in Olympic sports. Efforts to enforce anti doping policies are complicated by the diverse and evolving compounds and strate gies employed by athletes to gain a competitive edge. Now between the uniquely proximate 2021 Tokyo and 2022 Beijing Olympic Games, we discuss WADA’s efforts to prevent PED use during the modern Olympic Games. Then, we review the major PED classes with a focus on pathophysiology, complexities of antidoping testing, and relevant toxicitiies. Providers from diverse practice environments are likely to care for patients using PEDs for a vari ety of reasons and levels of sport; these providers should be aware of common PED classes and their risks.

Journal of Internal Medicine, Volume291, Issue2, 2022

Streamlining Doping Disputes at the Olympics: World Sports Organizations, Positive Drug Tests, & Consistent Repercussions

By Abby Chin

At the Olympic Games Rio de Janeiro 2016, world champion and Russian swimmer Yulia Efimova walked into the Olympics Aquatics Stadium not to cheers, but to the sound of boos.2 The crowd, and many athletes, condemned Efimova as a drug-using outcast who should not be allowed to compete in the Games. At the Rio Olympic Games, Efimova was one of seven swimmers from the Russian Federation who were formerly banned from the competition due to previously failed drug tests and the “World Anti-Doping Agency’s investigation into state-sponsored doping.”3 However, after an intense arbitration process, Efimova and her teammates were approved for competition. Efimova’s doping dispute began in 2013 when she received her first positive drug test and served a sixteen-month suspension.4 Next, in 2016, she tested positive for meldonium—the substance at issue for the alleged Russian state-sponsored doping.5 However, because meldonium did not officially become a banned substance until January 2016, many athletes claimed that, although they were no longer actively taking it, they were still testing positive because traces of meldonium were left in their system.6 This left a question about who would decide an athlete’s future competition eligibility after a positive test. While many different agencies were involved, Efimova’s positive drug test came from the World Anti Doping Agency (WADA). A positive test usually leads to a suspension, which athletes can appeal through the Court of Arbitration for Sports (CAS). However, because the positive test results occurred in an Olympic year—and with the was scrutiny of the entire Russian Olympic Federation—the International Olympic Committee (IOC) would also influence the outcome of the doping investigation.7 In its press release, the IOC stated athletes who had served prior suspensions unrelated to meldonium would be banned.8 If meldonium was the athlete’s first offense, it was up to the individual federations governing each sport to decide the fate of each individual athlete.9 However, the IOC decision conflicted with CAS precedent, which allowed athletes to return to competition with a clean slate after serving their entire suspension for a positive drug test.10 As a result, there was confusion and uncertainty as to whether these Olympic athletes could compete.11 Efimova appealed to the CAS, requesting to be reinstated to compete as she had already served her suspension. The CAS, believing it was inappropriate to ban athletes like Efimova for having already served suspension, granted the appeal.12 Efimova was able to compete in Rio despite the backlash of many other competitors and nations.13 Whether Efimova deserved the backlash, it became clear there was a significant problem with the uncertainty and lack of knowledge as to the appropriate process for punishing athletes who tested positive. Through the different rulings of the three major governing bodies involved, Efimova was placed under rigid scrutiny, in part because people did not understand the disciplinary process, her right to an appeal, and her right to receive relief from her sanction. This Note will examine the effect of the governing bodies, specifically during an Olympic year, on athletes involved in doping disputes and suggest a more streamlined arbitration process for the governing bodies to use when determining the eligibility of athletes in doping disputes. Currently, the arbitration process lacks transparency and efficiency because of the arbitrator selection process, the costs associated with bringing a dispute in front of an appeals panel, and the mandatory nature of arbitration in international sports. Hence, to create more just dispute outcomes, the arbitration process should become more informal, and athletes should be given the option for a final appeal. Section II of this Note discusses the different governing bodies and their processes for dealing with doping disputes. Section III demonstrates how the different governing bodies work around each other when handling disputes. This section also analyzes the positive and negative impacts of the way in which governing bodies work together. Section IV explores Efimova’s doping dispute in depth to provide an example of the arbitration process. Section V specifically describes the current concerns with the CAS arbitration process and ultimately offers a possible solution for a better-streamlined dispute process, such as modifying the current arbitration and arbitrator selection proceedings or allowing for an appeal from a CAS arbitrator decision.

OHIO STATE JOURNAL ON DISPUTE RESOLUTION [Vol. 33:3 2018]

Overview of the Impact of GenAI and Deepfakes on Global Electoral Processes

CERVINI, ENZO MARIA LE FEVRE; CARRO, MARÍA VICTORIA

From the document: "Generative Artificial Intelligence's (GenAI) capacity to produce highly realistic images, videos, and text poses a significant challenge, as it can deceive viewers and consumers into accepting artificially generated content as authentic and genuine. This raises concerns about the dissemination of false information, disinformation, and its implications for public trust and democratic processes. Additionally, this phenomenon prompts critical ethical and legal inquiries, including issues surrounding the attribution of authority and accountability for the generated content. [...] This article delves into the impact of generative AI on recent and future political elections. We'll examine how deepfakes and other AI-generated content are used, along with their potential to sway voters. We'll also analyze the strategies various stakeholders are deploying to counter this growing phenomenon."

ITALIAN INSTITUTE FOR INTERNATIONAL POLITICAL STUDIES. 22 MAR, 2024. 44p.

How National Security and Intelligence Institutions Engage with Racialized Communities

By The National Security Transparency Advisory Group (NS-TAG)

  The National Security Transparency Advisory Group (NS-TAG) was created in 2019 as an independent and external body. Our role is to advise the Deputy Minister of Public Safety Canada, and the rest of the national security and intelligence community, on steps to infuse transparency into Canada’s national security policies, programs, and activities in a manner that will increase democratic accountability and public awareness. Throughout our consultations in the past three years, we frequently heard about the trust gap between the country’s national security institutions and Canadians, and in particular with racialized Canadians. This matters: it is essential, in a healthy liberal democracy, for everyone to trust government and its agencies designed to keep us safe. In this context, we decided to focus our third report on the issue of relations between national security and intelligence institutions and racialized communities. We believe that a broad approach to transparency is essential in general – and in particular in national security and intelligence institutions’ relations with racialized communities. At times, these relations have been marred by mistrust and suspicion, and by errors of judgement by these institutions, which impacted communities have perceived as discriminatory. We make a number of recommendations in this report on how national security and intelligence institutions can be more transparent in their engagement with racialized    communities. Engagement can help government understand specific needs, identify local voices, open and build dialogue with them, and build trust and a shared understanding of common challenges. Engagement also provides a bridging function: engagement programs work on behalf of multiple parts of the government, exchanging information with external stakeholders and bringing it back inside the government to – ideally – feed into policy and operational processes. Engagement with racialized communities needs to involve a two-way conversation. As we heard in our consultations, too often engagement involves, in practice, government officials offloading a prepared message and failing to listen to the concerns of stakeholders. Constructive engagement should instead be based on dialogue; government officials should be attuned to the questions and concerns of stakeholders, listen to them, and be prepared and willing to respond. More and better engagement with racialized communities is essential. But for such engagement to be feasible, our outreach sessions made clear that deeper structural challenges in national security and intelligence institutions must be addressed. As such, our report also offers recommendations on these broader issues, notably on how to enhance diversity and inclusion and how to make complaints mechanisms more accessible to racialized and other vulnerable groups. As digitization accelerates, the data-driven dimensions of national security continue to expand at exponential rates. As a result, the national security apparatus is becoming more dependent on algorithmic methodologies and digital tools to gather and process massive data holdings, a reality that the Covid-19 pandemic has accelerated. It is clear, however, that systemic biases in Artificial Intelligence (AI) design can have perverse impacts on vulnerable individuals or groups of individuals, notably racialized communities. These biases reflect not only specific flaws in AI programs and organizations using them, but also underlying societal cleavages and inequalities which are then reinforced and potentially deepened. AI that poses a threat to racialized communities further erodes trust in national security and intelligence agencies and prohibits effective relationship building. There is growing agreement that many aspects of openness, oversight, and engagement play a vital role in ensuring accountability and effectiveness in current and future AI deployments.

Ottawa: Public Safety Canada, 2022. 84pg