OpenAI

Criticisms and Controversies Surrounding OpenAI

What are some of the major criticisms surrounding OpenAI's approach to artificial general intelligence (AGI) development?

One major criticism surrounding OpenAI's approach to artificial general intelligence (AGI) development is the lack of transparency and accountability. Critics argue that OpenAI's commitment to safety and responsible development of AGI is not backed by concrete actions or clear guidelines. OpenAI has stated that it will use any influence it obtains over AGI deployment to ensure it benefits all of humanity, but the specifics of how this will be achieved remain vague. This lack of transparency raises concerns about potential power imbalances and the concentration of control in the hands of a few.

Another criticism revolves around OpenAI's decision to prioritize competitive self-improvement. OpenAI has expressed the belief that AGI development could become a competitive race, and to stay ahead, they may need to adopt rapid development strategies. Critics argue that this approach could lead to a disregard for safety precautions and ethical considerations. They worry that OpenAI's focus on winning the race might compromise the thoroughness of safety measures, potentially resulting in the deployment of AGI before it is fully understood or controlled.

Furthermore, some critics question OpenAI's commitment to broad distribution of benefits. OpenAI has committed to using its influence to ensure AGI benefits all, but skeptics argue that this commitment may not be sufficient. They argue that OpenAI's primary fiduciary duty is to its stakeholders, which could include investors or shareholders who may prioritize profit over the equitable distribution of AGI benefits. This concern raises questions about whether OpenAI's commitment to broad benefit aligns with its potential financial incentives.

OpenAI's approach to intellectual property (IP) has also faced criticism. While OpenAI has stated that it is committed to providing public goods and sharing safety, policy, and standards research, it remains unclear how this will be balanced with protecting its IP rights. Critics argue that OpenAI's reliance on traditional IP protections could limit access to crucial research and hinder collaboration with other organizations working towards AGI development. This concern stems from the belief that AGI development should be a collaborative and collective effort, rather than a race for proprietary technology.

Lastly, some critics express concerns about the lack of diversity and inclusivity in OpenAI's approach. AGI development has far-reaching implications for society, and it is crucial to include diverse perspectives to ensure the technology benefits all of humanity. Critics argue that OpenAI's current composition and decision-making processes may not adequately represent the diverse range of stakeholders who will be affected by AGI. This lack of diversity could lead to biases and blind spots in the development process, potentially exacerbating existing inequalities.

In conclusion, major criticisms surrounding OpenAI's approach to AGI development include concerns about transparency and accountability, prioritization of competitive self-improvement, commitment to broad distribution of benefits, approach to intellectual property, and lack of diversity and inclusivity. These criticisms highlight the need for OpenAI to address these concerns and provide more clarity on its plans and actions to ensure the responsible and equitable development of AGI.

How has OpenAI been criticized for its lack of transparency and openness in sharing research findings?

OpenAI, as a prominent artificial intelligence research organization, has faced criticism for its perceived lack of transparency and openness in sharing research findings. This criticism primarily revolves around two key aspects: the limited release of research outputs and the absence of detailed technical information.

One of the main criticisms directed at OpenAI is its practice of selectively releasing research outputs. In the past, OpenAI has been known to publish only a fraction of its research findings, leading to concerns about cherry-picking results that align with their interests or withholding potentially valuable information from the public. Critics argue that this approach can hinder scientific progress by limiting the availability of knowledge and impeding the ability of other researchers to build upon or replicate OpenAI's work. This lack of transparency has led to accusations that OpenAI prioritizes commercial interests over the broader scientific community.

Another aspect of OpenAI's transparency-related criticism is the absence of detailed technical information in their publications. While OpenAI does release research papers, some critics argue that these papers often lack sufficient technical depth, making it challenging for external researchers to fully understand and reproduce the results. This lack of clarity can hinder the scientific community's ability to evaluate and validate OpenAI's research, potentially leading to skepticism and doubts about the reliability of their findings.

Furthermore, OpenAI has faced criticism for its approach to intellectual property and patenting. As a for-profit organization, OpenAI has stated that it may need to obtain patents to protect its technology and secure funding. However, this stance has raised concerns about the potential restriction of access to AI technologies and the implications for innovation and collaboration within the field. Critics argue that OpenAI's pursuit of patents contradicts its mission to ensure that artificial general intelligence (AGI) benefits all of humanity.

In response to these criticisms, OpenAI has taken steps to address some of the concerns. For instance, they have committed to providing public goods by publishing most of their AI research. They have also acknowledged the importance of sharing safety, policy, and standards research to ensure responsible development and deployment of AI technologies. OpenAI has expressed a willingness to improve transparency and has initiated efforts to increase the accessibility and comprehensibility of their research outputs.

In conclusion, OpenAI has faced criticism for its lack of transparency and openness in sharing research findings. The selective release of research outputs, the absence of detailed technical information, and concerns about intellectual property have all contributed to these criticisms. While OpenAI has made efforts to address these concerns, ongoing scrutiny and dialogue are necessary to ensure that transparency and openness remain central to the organization's mission.

What controversies have arisen regarding OpenAI's decision to restrict access to certain technologies and models?

OpenAI's decision to restrict access to certain technologies and models has generated significant controversies and criticisms within the technology and AI research communities. While OpenAI's intentions behind these restrictions are rooted in concerns about potential misuse and ethical implications, there are several key controversies that have emerged.

One of the primary controversies surrounding OpenAI's access restrictions is the concern that it may hinder scientific progress and impede the democratization of AI. OpenAI's decision to limit access to its models, such as GPT-3, has been criticized for creating a barrier for researchers and developers who may not have the resources or credentials to gain access. This limitation has raised concerns about exacerbating existing inequalities in AI development and widening the gap between well-funded organizations and smaller research groups or individuals.

Another criticism revolves around the lack of transparency and accountability in OpenAI's decision-making process. Some argue that OpenAI's approach to restricting access lacks clear guidelines and criteria, leading to ambiguity and potential bias in determining who can access their technologies. This lack of transparency has fueled concerns about favoritism, as well as the potential for commercial interests to influence access decisions.

Furthermore, OpenAI's decision to restrict access has raised questions about the concentration of power in the hands of a few organizations. By controlling access to advanced AI technologies, OpenAI effectively becomes a gatekeeper, which some argue could stifle competition and innovation in the field. Critics worry that this concentration of power could lead to a monopolistic control over AI capabilities, limiting the diversity of perspectives and hindering the development of alternative approaches.

OpenAI's restrictions have also sparked debates regarding the balance between safety and openness in AI research. While OpenAI emphasizes the need for responsible development and deployment of AI, critics argue that restricting access to models may hinder the ability of the wider research community to identify and address potential risks and biases. They contend that openness and collaboration are crucial for ensuring robustness, accountability, and the identification of unintended consequences.

Lastly, concerns have been raised about the potential for unintended negative consequences resulting from OpenAI's restrictions. By limiting access to certain technologies, OpenAI may inadvertently drive the development of similar models by less accountable or less cautious actors. This could lead to the proliferation of AI systems that lack the same level of safety measures and ethical considerations as those developed by OpenAI.

In summary, OpenAI's decision to restrict access to certain technologies and models has generated controversies related to hindering scientific progress, lack of transparency, concentration of power, balance between safety and openness, and unintended negative consequences. These controversies highlight the complex challenges associated with managing access to advanced AI technologies while ensuring responsible development, fairness, and inclusivity in the AI research community.

How has OpenAI faced criticism for its potential impact on job displacement and economic inequality?

OpenAI has faced criticism for its potential impact on job displacement and economic inequality due to the nature of its advancements in artificial intelligence (AI) and automation. These concerns stem from the belief that OpenAI's technologies could lead to significant job losses and exacerbate existing economic inequalities.

One of the primary criticisms directed at OpenAI is the fear that AI and automation will replace human workers, leading to widespread unemployment. As OpenAI develops increasingly sophisticated AI systems, there is a concern that these technologies will automate tasks traditionally performed by humans, rendering certain jobs obsolete. This displacement of workers could have far-reaching consequences, particularly for individuals in industries that are more susceptible to automation, such as manufacturing, transportation, and customer service.

Moreover, critics argue that OpenAI's focus on developing AI technologies primarily benefits large corporations and wealthy individuals, further exacerbating economic inequality. The concern is that the deployment of AI systems may concentrate wealth and power in the hands of a few, while leaving many workers behind. This concentration of resources could potentially widen the wealth gap and create a more unequal society.

Another criticism revolves around the potential bias and discrimination embedded in AI systems developed by OpenAI. AI algorithms are trained on large datasets, which can inadvertently perpetuate existing biases present in the data. If these biases are not adequately addressed, AI systems can perpetuate discriminatory practices in areas such as hiring, lending, and criminal justice. Critics argue that OpenAI needs to prioritize addressing bias and ensuring fairness in its AI systems to prevent further exacerbation of economic and social inequalities.

Furthermore, OpenAI's approach to intellectual property rights has also faced criticism. OpenAI initially aimed to provide public goods and make its research accessible to all. However, as concerns about potential misuse of AI technology arose, OpenAI shifted its stance to prioritize safety and security. This change led to concerns that OpenAI's focus on proprietary technology could limit access to AI advancements, further deepening the divide between those who have access to cutting-edge AI and those who do not.

To address these criticisms, OpenAI has taken steps to mitigate the potential negative impacts of its technologies. OpenAI has emphasized the importance of long-term safety and ethical considerations in AI development. They have also committed to conducting research to ensure fairness, transparency, and accountability in AI systems. OpenAI has actively participated in initiatives like the Partnership on AI, which aims to address the societal impacts of AI and promote responsible AI development.

In conclusion, OpenAI has faced criticism for its potential impact on job displacement and economic inequality. Concerns revolve around the potential loss of jobs due to automation, concentration of wealth and power, bias in AI systems, and limited access to AI advancements. OpenAI has acknowledged these concerns and has taken steps to address them by prioritizing safety, ethics, fairness, and transparency in its AI development efforts.

What concerns have been raised about OpenAI's concentration of power and its potential implications for society?

OpenAI, as a prominent artificial intelligence research organization, has faced several concerns and criticisms regarding its concentration of power and the potential implications it may have for society. These concerns primarily revolve around three main aspects: the impact on competition and innovation, the potential for bias and inequality, and the risk of misuse or control over AI technologies.

One of the primary concerns raised about OpenAI's concentration of power is its potential impact on competition and innovation. As OpenAI continues to push the boundaries of AI research and development, some argue that its dominance in the field could stifle competition and limit the opportunities for other organizations or researchers to contribute meaningfully. This concentration of power may lead to a lack of diversity in ideas, approaches, and perspectives, hindering the overall progress of AI technology.

Another significant concern is the potential for bias and inequality in OpenAI's work. AI systems are trained on vast amounts of data, and if this data is biased or reflects societal inequalities, it can perpetuate and amplify those biases. OpenAI's influence and power in shaping AI technology could inadvertently lead to biased outcomes that discriminate against certain groups or reinforce existing social disparities. Critics argue that OpenAI should prioritize addressing these biases and actively work towards ensuring fairness and inclusivity in AI systems.

Furthermore, the concentration of power in OpenAI raises concerns about the potential misuse or control over AI technologies. As AI becomes increasingly powerful and capable, there is a risk that it could be used for malicious purposes or to consolidate control in the hands of a few entities. OpenAI's influence over AI development and deployment could potentially enable them to shape societal norms, control information flow, or even manipulate public opinion. This concentration of power raises questions about accountability, transparency, and the need for safeguards to prevent misuse or abuse of AI technologies.

To address these concerns, OpenAI has taken steps to mitigate the concentration of power and its potential implications. One notable initiative is the formation of the OpenAI LP, a for-profit entity that operates alongside the non-profit organization. This hybrid structure aims to balance the pursuit of advanced AI capabilities with a commitment to ensuring broad benefits for society. OpenAI has also emphasized the importance of cooperation and collaboration with other research institutions and has actively sought external input and peer review to avoid undue concentration of power.

In conclusion, concerns have been raised about OpenAI's concentration of power and its potential implications for society. These concerns encompass issues related to competition and innovation, bias and inequality, as well as the risk of misuse or control over AI technologies. OpenAI acknowledges these concerns and is taking steps to address them, emphasizing the need for collaboration, transparency, and accountability in the development and deployment of AI systems.

In what ways has OpenAI been accused of prioritizing commercial interests over the broader benefit to humanity?

OpenAI, as a prominent artificial intelligence research organization, has faced criticisms and controversies regarding the prioritization of commercial interests over the broader benefit to humanity. These accusations stem from several key areas, including the organization's approach to intellectual property, its funding sources, and concerns about the potential misuse of its technologies.

One of the primary criticisms leveled against OpenAI is its approach to intellectual property. OpenAI initially positioned itself as an advocate for open-source AI, emphasizing the importance of sharing research and knowledge for the betterment of society. However, in 2019, OpenAI announced a shift in its strategy by creating a for-profit arm called OpenAI LP. This move raised concerns that the organization might prioritize commercial interests over the broader benefit to humanity. Critics argue that this shift could limit access to AI advancements and potentially hinder innovation by restricting the availability of crucial research findings.

Another aspect that has drawn criticism is OpenAI's funding sources. While OpenAI has received significant support from philanthropic organizations and individuals who share its mission, it has also accepted funding from commercial entities. This has led to concerns that OpenAI's decision-making process may be influenced by these commercial partners, potentially compromising its commitment to the broader benefit of humanity. Critics argue that such partnerships could lead to conflicts of interest and bias in research and development efforts.

Furthermore, OpenAI's decision to develop and deploy powerful AI technologies has raised concerns about their potential misuse. Critics worry that OpenAI's focus on commercial applications could result in the creation of AI systems that prioritize profit over ethical considerations. The fear is that these technologies could be used for harmful purposes, such as surveillance, propaganda, or autonomous weapons development. This concern highlights the tension between OpenAI's pursuit of commercial interests and its responsibility to ensure that AI is developed and deployed in a manner that aligns with broader societal values.

It is important to note that OpenAI has taken steps to address some of these concerns. For instance, the organization has committed to using any influence it obtains over AGI (Artificial General Intelligence) deployment to ensure it benefits all of humanity and avoids enabling uses that harm humanity or concentrate power. OpenAI has also expressed its intention to actively cooperate with other research and policy institutions to create a global community that addresses the challenges posed by AGI.

In conclusion, OpenAI has faced accusations of prioritizing commercial interests over the broader benefit to humanity in several ways. These include concerns about its approach to intellectual property, its funding sources, and the potential misuse of its technologies. While OpenAI has made efforts to address these concerns, the criticisms highlight the challenges faced by organizations seeking to balance commercial interests with the ethical and societal implications of AI development.

How has OpenAI been criticized for its lack of diversity and representation within its workforce and decision-making processes?

OpenAI, as a prominent corporation in the field of artificial intelligence, has faced criticism for its lack of diversity and representation within its workforce and decision-making processes. These criticisms primarily revolve around the underrepresentation of women and minority groups in key positions and the potential biases that may arise as a result.

One of the main criticisms directed at OpenAI is the gender imbalance within its workforce. Like many tech companies, OpenAI has been accused of having a predominantly male-dominated workforce, particularly in technical roles. This lack of gender diversity has been seen as a reflection of broader industry trends, where women are often underrepresented in STEM fields. Critics argue that this gender imbalance can lead to a lack of diverse perspectives and ideas, which may hinder innovation and limit the potential impact of OpenAI's work.

Similarly, OpenAI has faced criticism for its lack of racial and ethnic diversity. The company has been called out for having a predominantly white workforce, which raises concerns about the representation of different racial and ethnic backgrounds in decision-making processes. The lack of diversity in these processes can result in biased outcomes, as different perspectives and experiences are not adequately considered.

Another aspect of the criticism surrounding OpenAI's lack of diversity is the potential bias in AI systems developed by the company. AI algorithms are trained on large datasets, which can inadvertently perpetuate biases present in the data. If the workforce developing these algorithms lacks diversity, there is a higher likelihood that biases will be unintentionally encoded into the AI systems. This can have serious consequences, such as perpetuating discriminatory practices or reinforcing existing societal inequalities.

OpenAI has acknowledged these criticisms and has expressed a commitment to addressing them. The company recognizes the importance of diversity and inclusion in driving innovation and ensuring fair and unbiased AI systems. OpenAI has taken steps to increase diversity within its workforce by implementing initiatives aimed at attracting and retaining individuals from underrepresented groups. These efforts include partnerships with organizations focused on promoting diversity in tech, as well as providing scholarships and mentorship programs to support individuals from diverse backgrounds.

In conclusion, OpenAI has faced criticism for its lack of diversity and representation within its workforce and decision-making processes. The underrepresentation of women and minority groups raises concerns about the potential biases in AI systems and the limited range of perspectives in shaping the future of artificial intelligence. OpenAI has acknowledged these criticisms and is actively working towards increasing diversity and inclusion within its ranks to address these concerns.

What controversies have emerged around OpenAI's use of large-scale language models, such as GPT-3, and their potential for spreading misinformation or generating biased content?

Controversies surrounding OpenAI's use of large-scale language models, such as GPT-3, and their potential for spreading misinformation or generating biased content have emerged due to several key concerns. These controversies primarily revolve around the ethical implications, biases in training data, lack of transparency, and potential for malicious use.

One of the main concerns is the potential for these language models to spread misinformation. GPT-3 and similar models have the ability to generate highly convincing and coherent text, which can be exploited to disseminate false or misleading information. This raises concerns about the impact on public discourse, political campaigns, and the spread of conspiracy theories. The worry is that these models could amplify existing misinformation or even create entirely new narratives that are difficult to distinguish from genuine information.

Another controversy is the issue of bias in training data. Language models like GPT-3 learn from vast amounts of text data available on the internet, which can contain inherent biases present in society. If the training data is biased, the model may inadvertently generate biased or discriminatory content. For example, if the training data contains racial or gender biases, the model may produce outputs that perpetuate or amplify these biases. This raises concerns about reinforcing societal prejudices and exacerbating existing inequalities.

Transparency is another area of concern. OpenAI has faced criticism for not providing enough transparency regarding the development and fine-tuning of their language models. Critics argue that without sufficient transparency, it becomes difficult to assess the potential biases or understand the decision-making processes behind the models. This lack of transparency can undermine trust in the technology and hinder efforts to address any biases or mitigate potential harms.

Furthermore, there are concerns about the potential for malicious use of these language models. As GPT-3 and similar models become more accessible, there is a risk that they could be used to automate the creation of fake news, spam, or even generate convincing phishing emails. The ability to generate highly realistic and persuasive content at scale raises concerns about the potential for misuse by bad actors, leading to social engineering attacks, online scams, or even political manipulation.

To address these controversies, OpenAI has taken steps to mitigate the risks associated with their language models. They have emphasized the importance of responsible AI use and have implemented measures to reduce biases in training data. OpenAI has also encouraged external audits of their safety and policy efforts to ensure transparency and accountability. Additionally, they have sought public input on topics like system behavior and deployment policies to incorporate diverse perspectives and avoid undue concentration of power.

In conclusion, controversies surrounding OpenAI's use of large-scale language models like GPT-3 primarily stem from concerns about spreading misinformation, generating biased content, lack of transparency, and potential for malicious use. These controversies highlight the need for ongoing research, responsible development, and robust safeguards to ensure that the benefits of these language models are maximized while minimizing potential harms.

What ethical concerns have been raised regarding OpenAI's responsibility in ensuring the safe and ethical use of AI technologies?

OpenAI, as a prominent organization in the field of artificial intelligence (AI), has faced several ethical concerns regarding its responsibility in ensuring the safe and ethical use of AI technologies. These concerns primarily revolve around three main areas: the potential misuse of AI, the lack of transparency in AI development, and the concentration of power.

One of the primary ethical concerns raised regarding OpenAI's responsibility is the potential misuse of AI technologies. As AI continues to advance, there is a growing fear that it could be used for malicious purposes, such as autonomous weapons or surveillance systems that infringe upon privacy rights. OpenAI's development of powerful AI models, such as GPT-3, has raised concerns about the potential for these models to be used for generating fake news, propaganda, or deepfake content that can manipulate public opinion or deceive individuals. Critics argue that OpenAI should take more proactive measures to prevent the misuse of its technologies, such as implementing strict usage policies or collaborating with regulatory bodies to establish guidelines for responsible AI use.

Another ethical concern surrounding OpenAI is the lack of transparency in AI development. OpenAI has been criticized for not providing sufficient details about its AI models, making it difficult for external researchers to fully understand their capabilities and potential biases. This lack of transparency raises concerns about accountability and the potential for unintended consequences. Critics argue that OpenAI should be more transparent about its research and development processes, including sharing information about data sources, model training methodologies, and potential limitations. Increased transparency would enable external scrutiny and help identify and address any biases or ethical issues present in the AI models.

Furthermore, OpenAI's concentration of power in the AI domain has also raised ethical concerns. As one of the leading organizations in AI research and development, OpenAI possesses significant influence over the direction and impact of AI technologies. Critics argue that this concentration of power can lead to unfair advantages, monopolistic practices, or biased decision-making. There are concerns that OpenAI's decisions regarding AI deployment, access, and governance may not adequately consider the diverse needs and perspectives of different stakeholders. To address these concerns, OpenAI has taken steps to promote collaboration and inclusivity, such as partnering with external organizations and soliciting public input on AI-related topics. However, critics argue that more robust mechanisms are needed to ensure democratic decision-making and prevent undue concentration of power.

In conclusion, OpenAI has faced ethical concerns regarding its responsibility in ensuring the safe and ethical use of AI technologies. These concerns include the potential misuse of AI, the lack of transparency in AI development, and the concentration of power. Addressing these concerns requires proactive measures to prevent misuse, increased transparency in AI development, and mechanisms to ensure inclusive decision-making. By actively engaging with these concerns, OpenAI can contribute to the responsible and ethical development and deployment of AI technologies.

How has OpenAI faced criticism for its approach to intellectual property rights and the potential hindrance it poses to innovation and collaboration in the AI community?

OpenAI, as a prominent player in the field of artificial intelligence (AI), has faced criticism for its approach to intellectual property rights and the potential hindrance it poses to innovation and collaboration in the AI community. These criticisms primarily revolve around OpenAI's decision to adopt a more restrictive stance on intellectual property and its implications for the broader AI ecosystem.

One of the key criticisms directed at OpenAI is its shift from an initially open approach to a more closed one. OpenAI was founded with the mission to ensure that AGI (Artificial General Intelligence) benefits all of humanity. Initially, the organization pledged to use any influence it obtained over AGI deployment to avoid enabling uses that could harm humanity or concentrate power. However, in 2019, OpenAI updated its Charter to reflect a more cautious approach, stating that if a value-aligned and safety-conscious project comes close to building AGI before they do, they commit to stop competing and start assisting that project. This change raised concerns about potential restrictions on innovation and collaboration within the AI community.

Critics argue that OpenAI's shift towards a more closed approach may hinder innovation by limiting access to research and resources. OpenAI's decision to withhold certain AI models and technologies has been met with skepticism. For instance, when OpenAI released GPT-2, a powerful language model, it initially chose not to release the full version due to concerns about potential misuse. While this decision was made with good intentions, it sparked debates about the balance between openness and responsible development. Critics argue that withholding such models limits the ability of researchers and developers to build upon and improve existing technologies, potentially stifling innovation.

Moreover, OpenAI's approach to intellectual property rights has also been criticized for potentially impeding collaboration in the AI community. By seeking patents and other forms of intellectual property protection, OpenAI may create barriers for other researchers and organizations to freely use and build upon their innovations. Critics argue that this approach could lead to fragmentation and hinder the progress of AI as a whole. The fear is that if OpenAI becomes too focused on protecting its intellectual property, it may discourage collaboration and slow down the pace of innovation in the field.

Another concern raised by critics is the potential for OpenAI's approach to exacerbate existing power imbalances within the AI community. By adopting a more closed approach and potentially restricting access to certain technologies, OpenAI may inadvertently contribute to the concentration of power in the hands of a few organizations or individuals. This concentration of power could limit the diversity of perspectives and impede the development of AI systems that truly benefit all of humanity.

In response to these criticisms, OpenAI has taken steps to address concerns and maintain a balance between openness and responsible development. They have started to release more AI models and have committed to providing public goods that help society navigate the path to AGI. OpenAI has also expressed a willingness to work out agreements for sharing safety, policy, and standards research with other organizations. These efforts aim to mitigate concerns about hindering innovation and collaboration while ensuring responsible development and deployment of AI technologies.

In conclusion, OpenAI has faced criticism for its approach to intellectual property rights and the potential hindrance it poses to innovation and collaboration in the AI community. The shift towards a more closed approach, concerns about limited access to research and resources, potential barriers to collaboration, and exacerbation of power imbalances have all been raised as valid concerns. However, OpenAI has also taken steps to address these criticisms by increasing transparency, releasing more AI models, and committing to providing public goods. Balancing intellectual property rights with openness and collaboration remains an ongoing challenge for OpenAI as it strives to fulfill its mission of ensuring AGI benefits all of humanity.