How should un agencies respond yeast infection skin rash to ai and big data the global

Three forces are shaping united nations (UN) approaches to artificial intelligence (AI) and big data: the broad mission of the UN and the specific mission yeast infection skin rash of each UN agency; the rapid emergence of new technologies; and the political narratives that frame AI and big data. By analyzing how these three forces combine, align, contradict and potentially undermine themselves and one another, UN agencies can develop guidelines and strategies to determine which yeast infection skin rash (if any) AI and big data technologies serve their specific missions.

The first force is the target of UNAIDS to achieve yeast infection skin rash zero new HIV infections, zero discrimination and zero AIDS-related deaths. UNAIDS also aims to speak out with, and for, the people most affected by HIV in defense of human yeast infection skin rash dignity, human rights, and gender equality, in line with the overall UN mission.

The second force is the rapid emergence of new technologies yeast infection skin rash in AI and big data to assist HIV diagnosis, treatment and prevention. For example, a prototype home testing device that attaches to a smart yeast infection skin rash phone can detect HIV status in 15 minutes. While this device promises at least as accurate an HIV yeast infection skin rash diagnosis as currently available HIV home tests, its connection to a smartphone raises issues around informed consent, privacy, and data storage. Does this hi-tech test actually benefit people living with HIV more than yeast infection skin rash existing low-tech tests, or does it put them at greater risk than off-line testing because of how their data might be used, including their HIV status? This is a question UNAIDS must consider as it assesses yeast infection skin rash the potential use of AI and big data in its yeast infection skin rash HIV response.

The third force concerns the political narratives and framing of yeast infection skin rash AI and big data, and their impact on the HIV response. Three AI narratives dominate contemporary discussions: the dystopian account of AI driven by fear, the ethical account of AI driven by hope, and the entrepreneurial account of AI driven by the desire yeast infection skin rash for freedom from both state regulation and individuals’ full and sustained ownership and control of their personal data. These three accounts compete and combine at different levels of yeast infection skin rash strategic planning and policy-making in the UN, affecting how UNAIDS positions itself and pitches the idea of yeast infection skin rash using AI to stakeholders to end the HIV/AIDS epidemic as a public health threat in its advice yeast infection skin rash to governments.

For example, a 2018 “artificial intelligence for health” workshop organized by the international telecommunications union (ITU) and the world health organization (WTO) was framed around an ethical narrative driven by the hope yeast infection skin rash that AI would be made safe for the greater human yeast infection skin rash good, and help international organizations, governments and civil society to achieve the sustainable development goals yeast infection skin rash (sdgs) and a better life for all. Yet some participants were more aligned with an entrepreneurial freedom yeast infection skin rash narrative, which often puts profiting from users’ data over user needs and protections, putting users at greater risk. Because UNAIDS wishes to protect people seeking HIV prevention, care and treatment services, UNAIDS needs to be aware of how some AI narratives yeast infection skin rash might compromise its objective. This may require UNAIDS to expand its understanding of what yeast infection skin rash it means to protect humans to include protecting data about yeast infection skin rash humans.

How these three forces combine around specific UNAIDS policies, new technologies, and political narratives is different in every case. By keeping these three forces in mind, UNAIDS staff will be better equipped to access the benefits yeast infection skin rash and risks of emerging technologies. This will better empower them to uphold the UNAIDS mission yeast infection skin rash in ways that preserve the dignity, security, and human rights of people living with HIV.

• the UN commitment to a human-centered and rights-based approach should guide UN policy into the 21 st yeast infection skin rash to do so, UN agencies must be aware of how AI and big yeast infection skin rash data can undermine privacy and informed consent as well as yeast infection skin rash cause unfair, biased and discriminative outcomes through opaque processes of AI-driven identification, profiling and automated decision-making.

• all UN agencies should debate and discuss these issues, both internally and externally, to push for new policies and regulatory measures that are yeast infection skin rash guided by the overall UN mission and by the agency’s specific mission. UN agencies need to establish their own policies which ensure yeast infection skin rash that all decision-making within their agency remains centred on human rights and yeast infection skin rash civil liberties in this new era.

• in a UN context of hope that often emphasizes the yeast infection skin rash benefits of “ AI for good” to achieve sdgs, UN agencies should acknowledge and address the risks of AI yeast infection skin rash and big data for their missions that follow from often-overlooked or de-emphasized fear and freedom narratives, which may endanger the human rights and civil liberties of yeast infection skin rash the key populations each UN agency serves. That can’t be solved by technological standardization alone.

AI and big data promise to revolutionize healthcare around the yeast infection skin rash globe. That revolution might mean harnessing ‘AI for good’ and help the UN to achieve its sdgs. But each specific application of AI and big data carries yeast infection skin rash its own specific risks as well. UN agencies need to consider the tradeoffs between: the promised benefits and potential risks of each specific new yeast infection skin rash technology they seek to use or recommend; that technology’s role in the policy objectives the agency hopes to yeast infection skin rash achieve, and; what the agency can do and should do to limit yeast infection skin rash potential violations of human rights and civil liberties if it yeast infection skin rash were to employ or recommend a specific AI and big yeast infection skin rash data technology. Crucially, UN agencies need to realize that risks posed by AI yeast infection skin rash and big data to the key populations each agency serves yeast infection skin rash could become risks to their missions and to the UN yeast infection skin rash mission more broadly. Attention to how the three forces combine, align, contradict and potentially undermine themselves and one another will help yeast infection skin rash UN agencies achieve these aims.

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