Innovation and Technology
Immigration Service Targets H-1B Visa Holders For Adverse Information

Introduction to Unusual Requests for Evidence
United States immigration officials are issuing Requests for Evidence for H-1B and employment-based immigrant petitions, asking for home addresses and biometrics. Attorneys are worried because U.S. Citizenship and Immigration Services have not made such requests before. These requests are connected to USCIS claims that the agency has “adverse information” on individuals. It remains unclear if Trump administration officials have added employment-based visa applicants to its plans to identify and deport people lawfully in the United States, or if the requests serve another purpose.
Immigration Cases Start Receiving Unusual Requests For Evidence
When filing petitions for H-1B visas and I-140s for employment-based green cards, attorneys have received Requests for Evidence referencing “potentially adverse information.” The requests ask for the beneficiary’s residential address so that USCIS can collect their biometric information. “This is highly unusual because biometrics are not typically required for these case types,” said Vic Goel of Goel & Anderson. “The RFEs also fail to explain the nature of the adverse information, leaving employers and attorneys in the dark. It appears that DHS may be using AI tools to flag individuals based on undisclosed data, possibly from social media or other government databases," Goel said.
Nature of the Requests for Evidence
In one Request for Evidence, a USCIS adjudicator wrote: “We have encountered potentially adverse information related to the beneficiary. To continue processing your application or petition, we required an updated address for the beneficiary so that we may collect biometric data.” It then asks that “the beneficiary’s current and updated residential address” be submitted. “These RFEs are unusual because they don’t follow the process that USCIS historically has applied,” said Kevin Miner of Fragomen. “Information exchange for most employment-based petitions is done in writing. The company files a petition and explains why the foreign national qualifies for the H-1B or other work-authorized status that is being requested. If USCIS has questions after reviewing that filing, the agency issues a Request for Evidence explaining what remains unclear about the eligibility, and the company then responds.”
Concerns Among Immigration Attorneys
Miner points out that these Requests for Evidence differ because they do not ask substantive questions. Instead, the requests only state that “adverse information” about the beneficiary exists and the agency needs biometrics. Attorneys note that biometrics are not a typical part of the H-1B, I-140 or other employment-based petition process. U.S. Citizenship and Immigration Services has not provided any notice about a process change. USCIS did not respond to a request for comment to explain the purpose of the Requests for Evidence.
Immigration Attorneys Weigh The Best Course Of Action
When a government agency introduces new policies without notice, employers, attorneys and affected individuals are left wondering how to proceed. That applies to the current situation. “For now, I recommend not responding directly to the RFE by providing the beneficiary’s address or scheduling biometrics,” said Goel. “This is because this information is already in the record, and more pointedly because it is unclear why USCIS is asking for it. Instead, the attorney or petitioner should respond by citing 8 CFR 103.2(b)(16)(i), which requires USCIS to disclose any derogatory information being used as a basis for an adverse decision.”
Future Implications
Miner agrees with that approach to the Requests for Evidence. “Like responding to any other request for the government, the employer should endeavor to provide USCIS with the information it needs to be able to make an appropriate decision on the employer’s request,” Miner said. “In some instances, this could include asking USCIS as part of the RFE response to provide more information about what sort of adverse information it has identified about the beneficiary so that the employer can try to address those concerns. Because USCIS has only recently begun issuing these requests, we don’t yet know what further steps USCIS will take once the employer responds to the request.” Goel said that, without transparency about the source and substance of the information, “petitioners are unable to meaningfully respond or defend” against potentially erroneous allegations.
Conclusion
The USCIS Requests for Evidence occur while the Trump administration deports international students for minor infractions, protests and op-eds, raising alarm bells for employers and universities concerned about attracting talent to the United States. The last thing employers want is a new policy that makes it more challenging to hire or retain talent. The H-1B visa category is already the most restrictive in the U.S. immigration system, with only 20% of new H-1B applications turned into approved workers under the 85,000 annual limit. Companies and immigration attorneys are in a “wait and see” mode, unsure if these unusual Requests for Evidence foreshadow new restrictive measures.
FAQs
- Q: What is the purpose of the Requests for Evidence issued by USCIS for H-1B and employment-based immigrant petitions?
A: The purpose is unclear, but it involves collecting biometric data due to “potentially adverse information” about the beneficiaries. - Q: Are biometrics typically required for H-1B or employment-based green card petitions?
A: No, biometrics are not typically required for these types of petitions. - Q: How should employers or attorneys respond to these unusual Requests for Evidence?
A: It is recommended not to respond directly by providing the beneficiary’s address or scheduling biometrics. Instead, cite 8 CFR 103.2(b)(16)(i) to request disclosure of any derogatory information. - Q: What are the implications of these Requests for Evidence for international students and the U.S. immigration system?
A: The implications are uncertain but may further restrict the already limited H-1B visa category and make it more challenging for employers to hire or retain international talent.
Innovation and Technology
Evolve Beyond ‘Bro’ Culture

Diversity: A Key to Unlocking Innovation in Tech
The technology industry is often seen as a beacon of innovation and progress, with companies that are quick to adapt and capitalize on new ideas. However, beneath the surface, many tech companies are struggling with a crisis that can stifle creativity and hinder growth: a lack of diversity.
The Problem with "Bro Culture"
Tech companies are often dominated by a "bro culture" that prioritizes the perspectives and experiences of white males. This can lead to a lack of diversity in thought and approach, which can ultimately limit a company’s ability to innovate and succeed. Telle Whitney, a Silicon Valley startup veteran and co-founder of the Grace Hopper Celebration of Women in Computing, notes that this culture problem is long-standing and can have serious consequences. "As tech firms grow, their processes and hierarchies become hardened, limiting the freedom to experiment or bring new ideas to the table," she observes.
The Importance of Inclusive Culture
Most business leaders recognize the value of an inclusive culture, but many are hesitant to make the changes necessary to achieve it. "The hard truth is that most leaders don’t want to fundamentally change their workplaces," Whitney notes. However, creating an inclusive culture is crucial for driving innovation and success. By promoting diversity of thought and experience, companies can tap into a wider range of perspectives and ideas, leading to more creative solutions and better outcomes.
Steps to Promote Diversity and Inclusion
So, how can companies promote diversity and inclusion? Whitney urges leaders to take the following steps:
- Share your company’s vision: Regularly talk about the impact your products have on the market and the world. Discuss the importance of the mission with job candidates and new employees.
- Clearly articulate success: This includes the problems that need to be solved to accomplish the mission. Frequently remind your team what success looks like. Regularly emphasize the opportunities and excitement in doing something that has never been done.
- Be an example: Demonstrate with your behavior how ideas are listened to, challenged, and carried forward. Regularly review your product development thought processes and the evolution of ideas.
- Don’t shy away from challenging conflict: Communicate that negative, aggressive, and disrespectful behavior is not tolerated, emphasize respect instead. Call out microaggressions and aggressive behavior.
- Actively invite everyone to share ideas: All voices need to be heard. Host forums, hackathons, and discussion sessions for employees to present new and novel perspectives and discuss new product and feature ideas.
- Ensure there is a diverse group of role models for employees: This can be encouraged through sending employees to conferences, local meetups, or virtual events where they might meet role models. Solicit advice from staff as to external events they would like to attend.
- Be suspicious of traditional methods that are considered sacrosanct: Challenge assumptions of "how things are done." Regularly evaluate the success of your processes and consider alternatives. Consider whether your approaches serve all needs, meet all objectives, or work for only certain populations or types of problems.
- Question traditional views of success: Re-evaluate your organization’s preconceived notions of what talent and high potentials look like. Consider which traits and behaviors that you look for in employees might exclude talent from certain groups.
Conclusion
In conclusion, promoting diversity and inclusion is crucial for driving innovation and success in the tech industry. By taking the steps outlined above, companies can create a more inclusive culture that values diversity of thought and experience. This, in turn, can lead to more creative solutions, better outcomes, and a competitive edge in the market.
FAQs
- Q: Why is diversity important in tech?
A: Diversity is important in tech because it brings different perspectives and ideas to the table, leading to more creative solutions and better outcomes. - Q: How can companies promote diversity and inclusion?
A: Companies can promote diversity and inclusion by sharing their vision, articulating success, being an example, challenging conflict, inviting everyone to share ideas, providing diverse role models, challenging traditional methods, and questioning traditional views of success. - Q: What are the benefits of a diverse and inclusive culture?
A: The benefits of a diverse and inclusive culture include more creative solutions, better outcomes, and a competitive edge in the market.
Innovation and Technology
The Rise of Tech-Savvy Social Enterprises: Disrupting the Status Quo

What are Tech-Savvy Social Enterprises?
Tech-savvy social enterprises are organizations that utilize technology to drive social impact and create positive change. These enterprises leverage technology to develop innovative solutions to complex social problems, such as poverty, inequality, and environmental degradation. By using technology, social enterprises are able to reach more people, increase efficiency, and create sustainable solutions.
Key Characteristics of Tech-Savvy Social Enterprises
Tech-savvy social enterprises have several key characteristics that set them apart from traditional social enterprises. These characteristics include a strong focus on technology, a commitment to innovation, and a willingness to take risks. Additionally, tech-savvy social enterprises are often driven by a desire to create systemic change and address the root causes of social problems.
The Impact of Tech-Savvy Social Enterprises
The impact of tech-savvy social enterprises is significant, and can be seen in a variety of areas. For example, tech-savvy social enterprises are creating innovative solutions to address issues such as access to healthcare, education, and financial inclusion. By leveraging technology, these enterprises are able to reach more people, increase efficiency, and create sustainable solutions.
Examples of Tech-Savvy Social Enterprises
There are many examples of tech-savvy social enterprises that are creating positive impact. For instance, organizations such as Coursera and edX are using online learning platforms to increase access to education. Similarly, companies such as M-Pesa and Paytm are using mobile payments to increase financial inclusion. These enterprises are just a few examples of the many organizations that are using technology to drive social change.
Benefits of Tech-Savvy Social Enterprises
The benefits of tech-savvy social enterprises are numerous. For example, these enterprises are able to increase efficiency, reduce costs, and create sustainable solutions. Additionally, tech-savvy social enterprises are able to reach more people and create a greater impact than traditional social enterprises.
Increased Efficiency
One of the key benefits of tech-savvy social enterprises is increased efficiency. By leveraging technology, these enterprises are able to automate processes, streamline operations, and reduce waste. This increased efficiency enables tech-savvy social enterprises to focus on high-impact activities and create a greater impact.
Reduced Costs
Another benefit of tech-savvy social enterprises is reduced costs. By leveraging technology, these enterprises are able to reduce operational costs, minimize waste, and optimize resources. This reduction in costs enables tech-savvy social enterprises to allocate more resources to high-impact activities and create a greater impact.
Challenges Facing Tech-Savvy Social Enterprises
Despite the many benefits of tech-savvy social enterprises, there are also several challenges that these organizations face. For example, tech-savvy social enterprises often struggle to access funding, talent, and technology. Additionally, these enterprises must navigate complex regulatory environments and address issues related to data privacy and security.
Access to Funding
One of the key challenges facing tech-savvy social enterprises is access to funding. These enterprises often struggle to secure funding from traditional sources, such as grants and donations. As a result, tech-savvy social enterprises must be creative in their fundraising efforts and explore alternative sources of funding, such as impact investing and social entrepreneurship competitions.
Access to Talent
Another challenge facing tech-savvy social enterprises is access to talent. These enterprises often struggle to attract and retain top talent, particularly in areas such as software development and data science. As a result, tech-savvy social enterprises must be strategic in their recruitment efforts and offer competitive salaries and benefits to attract top talent.
Conclusion
In conclusion, the rise of tech-savvy social enterprises is revolutionizing the way we approach social entrepreneurship. By leveraging technology to drive positive impact, these innovative organizations are creating a new era of social change. While there are challenges facing tech-savvy social enterprises, the benefits of these organizations are clear. As the social entrepreneurship sector continues to evolve, it is likely that tech-savvy social enterprises will play an increasingly important role in creating positive impact and driving social change.
Frequently Asked Questions
What is a tech-savvy social enterprise?
A tech-savvy social enterprise is an organization that utilizes technology to drive social impact and create positive change.
What are the benefits of tech-savvy social enterprises?
The benefits of tech-savvy social enterprises include increased efficiency, reduced costs, and the ability to create sustainable solutions.
What are some examples of tech-savvy social enterprises?
Examples of tech-savvy social enterprises include organizations such as Coursera, edX, M-Pesa, and Paytm.
What challenges do tech-savvy social enterprises face?
Tech-savvy social enterprises face challenges such as access to funding, talent, and technology, as well as complex regulatory environments and issues related to data privacy and security.
How can I get involved with tech-savvy social enterprises?
You can get involved with tech-savvy social enterprises by donating, volunteering, or working with these organizations. Additionally, you can support tech-savvy social enterprises by spreading the word about their work and advocating for their cause.
Innovation and Technology
Debunking AI Agent Myths

Introduction to AI Agents
The latest buzz of excitement in the world of business and consumer technology is all around AI agents. These can be thought of as the next leap forward in the field of generative AI, which gave us ChatGPT and other large-language-model chatbots. Rather than simply answering questions or generating information, they can take action on our behalf, interfacing with other tools and services to complete complex tasks.
Understanding AI Agents
The technology hasn’t quite reached the watershed moment where it has broken through into the mainstream yet, as happened with LLM chatbots a couple of years back when ChatGPT was released. But make no mistake, it’s on its way, and its impact is going to be huge, as we increasingly turn to AI assistants to help us out in all aspects of life.
Common Myths About AI Agents
There’s still a lot of confusion around the subject, though. So let’s clear up five myths around the topic of agentic AI.
Myth 1: Agents Are Basically Just Better Chatbots
Agents have one fundamental quality that sets them apart from and above chatbots; they don’t just talk the talk, they walk the walk. This means they can take action, specifically computer-based actions like interacting with websites, digital services and software. When you think about how many of life’s tasks we handle in that way, that’s potentially quite a lot of work they can take off our hands.
Myth 2: Agents Can Only Carry Out A Limited Number Of Tasks
It’s true that in these early days, the first agentic consumer-facing tools, like OpenAI Operator, were a little limited. In theory, though, AI agents will eventually be capable of taking care of just about any task we usually use a smartphone for. This could include managing our schedules, shopping for groceries, making travel arrangements, arranging appointments for services like healthcare or car maintenance, booking taxis, managing our bank accounts, and countless other things.
Myth 3: AI Agents Can’t Be Fooled Or Manipulated
You might think that it would be difficult to pull a fast one on super-smart agentic AI, but this isn’t necessarily proving to be the case. At least one study has found that agents using computer vision to search the web for deals can be tricked into clicking specific links or pop-up ads by making it appear they have the info the AI is looking for.
Myth 4: Agentic AI Is The Same As AGI
With all the terminology around AI, it’s often easy to get confused. Agentic AI and artificial general intelligence (AGI) are two topics that are often muddled together, but actually refer to different, if related, concepts. AGI refers to machine intelligence that’s able to “generalize” its knowledge and capabilities, in order to solve any problem, rather than just the type of problems it has been trained to solve (much like humans can).
Myth 5: AI Agents Can Work Without Human Input Or Supervision
Agentic AI is often described as autonomous because, in theory, it’s capable of working without human input or supervision. In practice, though, this isn’t a good idea. Remember, AI agents are tools. They can take action on our behalf, but we’re always responsible for the results.
Conclusion
By understanding that AI agents are more than next-gen chatbots, that their utility is set to grow massively, and that human oversight is non-negotiable, and ethical standards are the responsibility of us all, we can make sure we’re ready to benefit from the incoming wave of change they will bring.
FAQs
Q: What are AI agents?
A: AI agents are the next leap forward in the field of generative AI, capable of taking autonomous actions on our behalf.
Q: How do AI agents differ from chatbots?
A: AI agents can take action, specifically computer-based actions, whereas chatbots can only provide information or answers to questions.
Q: Can AI agents be fooled or manipulated?
A: Yes, AI agents can be tricked into clicking specific links or pop-up ads by making it appear they have the info the AI is looking for.
Q: Is agentic AI the same as AGI?
A: No, agentic AI and artificial general intelligence (AGI) are two different concepts, although related.
Q: Do AI agents require human input or supervision?
A: Yes, human oversight and accountability are critical elements of any agentic framework.
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