AI 'n the House.
AI ‘n the House ??: Your periodic #AI round-up of trending articles that could have HUD and housing impacts in the communities we serve:
This bonus edition contains numerous examples covering how AI is shaping the decisions we make, the industries we rely on, and the policies guiding its future. ?Let’s jump in!
District leaders emphasize the importance of keeping humans involved in the use of generative AI in education. They discuss strategies for integrating AI in classrooms, such as offering guidance to teachers and students on safe and ethical use, while allowing room for flexibility and evolution. AI can assist students with clarifying concepts, planning assignments, and refining their work. Teachers also use AI to reduce grading workloads. The article highlights ongoing policy adjustments to ensure responsible use, student data privacy, and academic integrity.
The Department of Justice recently held its fourth interagency meeting focused on advancing equity in artificial intelligence. This meeting aligns with President Biden’s executive order on AI, which tasks federal agencies with preventing algorithmic discrimination while promoting the social and technological benefits of AI. Attendees discussed auditing tools to monitor and reduce bias in AI systems, especially in federally administered programs. The meeting included representatives from several government agencies, highlighting the ongoing federal efforts to ensure AI fairness and accountability.
This article outlines four key considerations for fashion and beauty brands when developing AI protocols. It emphasizes the need for transparency and disclosure, particularly when using AI to create content, as consumers increasingly demand to know when AI is involved. The piece also highlights concerns about AI-generated human likenesses, the ethical use of customer-facing AI tools, and intellectual property risks when generating designs. Brands are encouraged to self-regulate, considering their long-term reputations and the societal impacts of AI usage.
The article discusses how AI is transforming customer experience (CX) by enabling hyper-personalized journeys. Businesses are leveraging AI tools like machine learning and predictive analytics to analyze vast customer data, enhance service delivery, and automate routine tasks. AI-powered chatbots improve support efficiency, while predictive analytics anticipate customer needs, facilitating proactive engagement. The key takeaway is that integrating AI with human interaction fosters deeper customer relationships, balancing efficiency with empathy. For more details, you can read the full article.
The U.S. Department of Labor has released AI Best Practices aimed at ensuring AI technologies improve job quality and benefit workers. These guidelines support the ethical use of AI, focusing on worker empowerment, privacy, and economic security. Key recommendations include transparency in AI use, meaningful human oversight, and protecting labor rights. The roadmap emphasizes AI’s role in enhancing job opportunities, especially for underserved communities, while ensuring responsible AI development aligned with worker well-being.
Login.gov will officially offer facial recognition technology to its partners as part of its identity verification services. This move aims to streamline the authentication process for accessing government services online. Alongside this, the White House has issued the final version of the Trust Regulation, which establishes guidelines for the responsible and secure use of digital identity technologies, focusing on privacy and equitable access.
In an interview, GSA’s Chief AI Officer, Zach Whitman, discusses generative AI pilots within the agency, focusing on projects like robotic process automation to improve efficiency and AI chatbots for enhancing customer service. He emphasizes the importance of high-quality data and infrastructure, along with user training, to ensure responsible AI use. Whitman also highlights collaboration across agencies and plans for scaling AI efforts to improve federal operations.
The National Defense Magazine highlights ten emerging technologies poised to transform defense in 2024. Key innovations include AI for decision-making and operational efficiency, quantum computing for secure communications, and advanced materials for improved weaponry. Other notable technologies encompass hypersonic weapons, enhanced robotics, and augmented reality for training. The article underscores the urgency of these advancements for maintaining military readiness and superiority.
The Hill article discusses how Congress is stuck in a regulatory limbo on AI policy. Lawmakers face challenges balancing innovation with public safety. While there’s bipartisan support for AI regulation, disagreements remain over the extent of government oversight. Congress must decide how to address AI’s ethical concerns, data privacy, and workforce impacts, all while ensuring that the U.S. remains competitive in AI development.
The must-have skills for Chief AI Officers include a deep understanding of AI and machine learning technologies, data science expertise, and experience in integrating AI across business functions. They must also possess strong leadership and communication skills to drive AI strategies and ensure alignment with organizational goals. Additionally, the ability to navigate ethical and regulatory challenges related to AI deployment is crucial.
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New York State has released guidance addressing AI-related cybersecurity risks for financial institutions. The guidance outlines key considerations for banks using AI, emphasizing the importance of robust risk management frameworks. It urges institutions to assess potential vulnerabilities associated with AI applications and to implement effective controls to mitigate these risks. The document encourages proactive measures, including employee training and regular audits, to enhance cybersecurity resilience. New York aims to ensure that financial entities adopt safe AI practices while maintaining customer trust and safeguarding sensitive data.
The DOJ's Criminal Division has released updated guidance on the use of AI in corporate compliance programs. The guidance highlights the importance of incorporating AI technologies to enhance risk assessments and monitoring processes. It encourages companies to leverage AI for identifying potential misconduct and improving overall compliance effectiveness. The DOJ emphasizes that while AI can be beneficial, organizations must remain vigilant about potential biases and ensure transparency in AI systems. The updates aim to help companies better understand their obligations and adopt proactive measures to prevent criminal activity while fostering ethical AI use.
The U.S. Treasury has utilized AI tools to recover billions of dollars lost to fraud and improper payments. By analyzing vast amounts of data, these AI systems identified anomalies and patterns indicative of fraudulent activity. This proactive approach has significantly enhanced the Treasury's ability to detect and prevent financial misconduct. Officials report that the integration of AI has streamlined investigations and improved recovery processes, leading to a more efficient allocation of resources. The success of these tools underscores the potential of AI in combating financial fraud and reinforcing fiscal accountability.
In a recent podcast, James Kleimann discusses AI's transformative impact on the housing industry. He highlights how AI-driven technologies streamline processes such as property valuation, mortgage underwriting, and customer service. Kleimann emphasizes that these advancements enhance efficiency and improve the home-buying experience for consumers. However, he also addresses potential challenges, including ethical concerns and the need for regulation to ensure fair practices. The conversation reflects on the balance between innovation and safeguarding
The upcoming seminar at Johns Hopkins University, titled "Does AI Help Humans Make Better Decisions? A Methodological Framework for Experimental Evaluation," will explore the impact of AI on human decision-making. It introduces a new experimental framework to compare decision-making systems: human-alone, human-with-AI, and AI-alone. The speaker will present findings from a randomized controlled trial examining a pretrial risk assessment instrument, revealing that AI recommendations did not enhance judges' decision accuracy and, in some cases, performed worse than human decisions alone. For more details, visit the seminar page.
Discusses the dual role of AI in cybersecurity, highlighting its potential to enhance defenses through real-time threat detection, automation of routine tasks, and predictive analytics. However, it also addresses associated risks, such as adversarial AI attacks, algorithmic bias, and data privacy concerns. Legal implications regarding liability and compliance with regulations like GDPR and CCPA are emphasized. Businesses are encouraged to balance innovation with ethical considerations to maximize AI benefits while minimizing risks.
The AI governance market is projected to reach $5,776 million by 2029, according to a MarketsandMarkets report. This growth is driven by the increasing adoption of AI technologies, raising concerns about transparency, fairness, and accountability in AI systems. Regulatory frameworks and governance structures are becoming essential for businesses to manage AI risks while maximizing its potential. The market will see significant investments in compliance tools, risk management solutions, and ethical AI practices.
The article discusses a new initiative designed to help startups engage with the Pentagon. The tool, unveiled in 2024, aims to simplify the often complex process for small companies to navigate defense contracts and pitch innovative solutions to the Department of Defense. The program provides a more transparent pathway for emerging technologies to gain a foothold in defense procurement, encouraging innovation while streamlining compliance with federal requirements.
AI is transforming the real estate industry by automating tasks such as client interactions, listing copy, and digital staging. A recent survey revealed that nearly 80% of real estate agents have adopted AI tools, with the most common use being crafting property listings. Agents like Laura Fitzpatrick and Justin Greenberg highlight how AI saves time and enhances client relationships, allowing for more personalized service. While some fear AI may diminish the human touch, many agents believe it actually enhances their ability to connect with clients.
A recent study shows that a significant number of Americans are using AI technologies, with applications ranging from personal assistants to content generation tools. This widespread adoption indicates a shift in how people engage with technology, potentially boosting productivity and innovation. However, the economic implications are complex, as increased reliance on AI may disrupt traditional job markets while creating new opportunities. Policymakers face the challenge of ensuring that AI benefits are equitably distributed across society.
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The article discusses how AI-backed analytics are enhancing operations in the manufactured housing industry. By leveraging advanced data analysis, companies can optimize production processes, improve inventory management, and enhance customer service. This technology aids in identifying trends and making data-driven decisions, ultimately leading to increased efficiency and profitability. The integration of AI in this sector reflects a broader trend towards modernization and innovation in manufacturing.
The article emphasizes the urgent need to integrate AI into workforce development strategies as AI transforms industries and job markets. It highlights the growing demand for AI-related skills and the necessity of reskilling and upskilling workers. Key strategies include incorporating AI in education, fostering collaboration between industries and educational institutions, and promoting continuous learning. The piece also addresses ethical considerations, ensuring AI tools avoid bias and enhance inclusivity. By preparing a skilled workforce, organizations and governments can drive innovation and economic growth, positioning nations as leaders in the global AI landscape.
Effective AI oversight requires board members to engage actively in AI discussions and ensure alignment with strategic goals. Boards should understand AI's implications, including ethical considerations, risks, and compliance. They must cultivate a culture of accountability and transparency, fostering collaboration among technology, risk, and compliance teams. By prioritizing AI in their agenda, boards can better navigate challenges and drive innovation, ultimately enhancing organizational resilience and competitiveness.
The term "shadow AI" refers to employees using AI tools without their employer's knowledge or consent, posing risks to businesses. As AI becomes more accessible, individuals are adopting these technologies for tasks like drafting emails or analyzing data. However, this unsanctioned usage can lead to data leaks, especially when sensitive information is involved. Organizations must establish clear AI governance policies to mitigate risks and encourage safe usage. Ignoring shadow AI can result in significant vulnerabilities, making oversight essential in today’s digital landscape.
The report from the World Economic Forum examines the governance challenges posed by generative AI. It emphasizes the need for comprehensive regulatory frameworks that address ethical, societal, and economic implications. Key recommendations include fostering collaboration among stakeholders, establishing accountability mechanisms, and ensuring inclusivity in AI development. The report advocates for proactive governance to harness the benefits of generative AI while mitigating risks related to misinformation, privacy, and security. For further insights, read the full report here.
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Google criticized the U.S. Department of Justice’s proposal to break up its operations following an antitrust ruling. The ruling found Google guilty of maintaining a monopoly in the search market through anti-competitive practices. Google argues that such a move would have unintended consequences, harming consumers and businesses. The company claims the proposed remedies, like sharing search data with competitors or splitting off its Chrome and Android businesses, could jeopardize innovation, privacy, and security, while distorting the competitive landscape, especially in AI and emerging technologies.
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The rapid pace of AI development is challenging mortgage and real estate executives to adapt quickly. Many firms are using AI to enhance decision-making, security, and customer experience, but keeping up with the speed of technological advancement is daunting. Executives highlight the need for continual adaptation to maintain a competitive edge, while also balancing regulatory requirements and consumer expectations. AI's integration affects everything from staffing and compliance to profitability.
Calgary-based startup OpenHouse.ai has launched an AI-powered app designed to connect homebuilders with buyers more efficiently. The app provides real-time buyer insights, helping sales teams focus on personalized engagement rather than administrative tasks. By integrating AI into the sales process, the platform tailors the homebuying experience and improves lead quality, enabling builders to respond quickly to buyer needs and preferences. This innovation aims to bridge the gap between builders and buyers, optimizing customer service in the housing market.
The White House has issued a new directive aimed at ensuring the responsible acquisition of AI technologies across federal agencies. The guidance outlines key practices for managing AI risks, particularly regarding privacy, security, and data ownership, and promotes a competitive AI marketplace. Specific focus areas include the procurement of generative AI and AI-enabled biometric systems, which are required to meet stringent standards for accuracy and fairness, preventing unlawful use of data. The directive also emphasizes cross-functional collaboration to handle AI's complex challenges while mitigating risks such as bias and discrimination.
A new study highlights that while government agencies are optimistic about the potential of generative AI (GenAI), their ability to deploy it effectively lags behind. Although 84% of decision-makers plan to invest in GenAI soon, challenges like outdated systems, insufficient governance, and cultural resistance hinder progress. Only 52% of agencies have formal GenAI policies, and many lack comprehensive frameworks to manage its deployment, potentially slowing down innovation despite the enthusiasm.
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The application of Inter-American Human Rights Standards to government use of AI focuses on ensuring that AI deployment aligns with fundamental rights such as privacy, non-discrimination, transparency, and accountability. The Inter-American Commission on Human Rights (IACHR) emphasizes that governments must establish regulations to mitigate risks of harm, prevent bias, and protect marginalized communities. Governments must also ensure that AI systems comply with due process and uphold democratic principles. The use of AI should enhance public services without infringing on rights, and oversight mechanisms should be in place to ensure accountability for AI-driven decisions, particularly those impacting rights and freedoms.
NIST scientists have shared long-term predictions about the future of science and technology, focusing on innovations that could shape areas such as AI, quantum computing, and biotechnology. They emphasize advancements in measurement science as foundational to future breakthroughs, enabling better AI algorithms, more precise quantum systems, and revolutionary biotechnological tools. The predictions highlight the critical role that measurement precision will play in driving next-generation tech that addresses global challenges like climate change and healthcare.
The U.S. Department of the Interior has outlined a strategy to expand its use of artificial intelligence (AI) to improve internal processes and enhance public service. This strategy includes adopting AI tools for data management, operational efficiency, and decision-making in areas such as environmental monitoring and land management. The plan emphasizes ethical AI use, with attention to transparency, fairness, and addressing potential biases in AI systems. The Interior also aims to build AI expertise among its staff and establish governance frameworks to guide responsible AI deployment.
Dr. Manjeet Rege recently presented to the National Council of State Housing Agencies (NCSHA) on the impact of technology and artificial intelligence (AI) in housing. His presentation focused on how AI and tech innovations can streamline operations in the housing sector, improve affordability, and enhance data-driven decision-making. Rege highlighted the potential of AI to better predict housing needs, manage resources more efficiently, and address inequities in access to affordable housing. He also emphasized the importance of ethical AI use and developing strategies that ensure AI-driven solutions are transparent and equitable for all communities.
Concordia University has released AI-driven insights into the Canadian rental market in collaboration with Equiton. The research utilizes advanced data analytics to analyze rental trends and property valuations across Canada, offering valuable information for landlords, investors, and policymakers. The findings reveal significant insights about market dynamics, rental prices, and demand, aiming to improve decision-making in the housing sector. This initiative underscores the growing role of AI in addressing challenges within the rental market, particularly in light of ongoing housing affordability issues.
The article explores how AI can enhance residential housing projects by promoting sustainability. It highlights AI's ability to optimize design, improve energy efficiency, and streamline construction processes. By analyzing data related to materials and environmental impacts, AI aids architects and developers in creating eco-friendly housing solutions. The integration of AI not only addresses current housing challenges but also facilitates resource efficiency and cost savings, paving the way for innovative sustainable practices in the industry.
Howard Hanna has launched a new AI-powered home search tool designed to enhance the property search experience for users. This innovative tool utilizes advanced algorithms to analyze user preferences and behaviors, allowing for more personalized home recommendations. The AI tool aims to streamline the search process, making it easier for buyers to find homes that meet their specific needs and criteria. Howard Hanna's initiative reflects the growing trend of incorporating AI technology in the real estate industry to improve customer engagement and satisfaction.
A recent investigation suggests that AI software used to determine rental prices may be inflating rents across the United States, potentially impacting the Utah market. The software reportedly analyzes various data points to suggest higher rent prices, which could lead to increased housing costs for renters. This trend raises concerns about affordability and market stability in Utah, where housing costs have already been rising. Local experts are urging greater transparency in how rental prices are set to mitigate the negative effects on the housing market.
Incoming Chief AI Officers (CAIOs) in federal agencies must focus on several critical priorities as they lead AI initiatives. They should establish governance frameworks to ensure ethical AI deployment, emphasizing risk management and transparency. CAIOs must foster collaboration across government entities to tackle challenges related to bias and accountability. Additionally, they should work to improve AI literacy within their agencies, enabling informed decision-making and effective integration of AI technologies. These steps are vital for harnessing the potential of AI while mitigating associated risks.
The Office of Management and Budget (OMB) has issued new guidance to federal agencies regarding the procurement of artificial intelligence (AI) technologies. This guidance aims to ensure responsible acquisition practices that address risks, enhance performance, and promote a competitive marketplace. It emphasizes the importance of establishing clear governance frameworks, involving cross-functional teams, and ensuring compliance with legal standards. Additionally, the OMB encourages agencies to negotiate contract terms that protect government data and intellectual property while facilitating innovation.
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The Chief Artificial Intelligence Officer (CAIO) plays a crucial role in leading AI innovation and managing associated risks within organizations. This position requires a balance between harnessing the transformative potential of AI and ensuring ethical, transparent deployment. CAIOs must establish governance frameworks that address compliance, bias, and security concerns while fostering collaboration across departments. Additionally, they are responsible for educating staff on AI capabilities and limitations, promoting an informed approach to AI integration in business strategies.
The Department of Justice (DOJ) has updated its corporate compliance guidance to address the risks associated with artificial intelligence (AI) and emerging technologies. This update emphasizes the need for companies to implement robust compliance programs that account for the ethical and legal implications of AI use. The DOJ encourages organizations to assess their AI systems for potential biases, transparency issues, and adherence to regulatory standards. By doing so, companies can better manage risks and ensure accountability in their technological deployments.
A potential Trump presidency would emphasize deregulation in AI to foster innovation and protect free speech, advocating for fewer restrictions on AI development. Trump aims to rescind Biden's AI-related executive orders, viewing them as barriers to progress. On the other hand, a Harris administration would likely continue the Biden administration's approach, which emphasizes safeguarding against AI risks, such as misinformation and algorithmic bias. Harris advocates for strong regulatory frameworks to ensure AI technologies prioritize public safety and equity, with an emphasis on protecting marginalized communities and national security interests.
Generative AI (GenAI) is increasingly shaping the future of public services by enabling governments to improve operational efficiency, enhance citizen engagement, and make data-driven decisions. GenAI tools help streamline self-service platforms like chatbots, making citizen interactions more personalized and responsive. Governments are also leveraging GenAI for policy insights, automating repetitive tasks, and improving citizen experiences by integrating data across agencies for a 360-degree view of citizen needs. However, challenges such as data privacy, cybersecurity, and the need for robust governance frameworks are holding back full-scale implementation. While many governments are focused on pilot projects, scaling GenAI adoption will require tackling transparency issues, ensuring ethical use, and closing the AI talent gap. Singapore and other countries in the Asia-Pacific region are leading these efforts with frameworks that balance innovation with security and governance.
GovGPT is an AI tool designed to improve government interactions by automating services and responding to citizen inquiries 24/7. It aims to enhance efficiency and personalization in public services but raises concerns about data accuracy, privacy, and over-reliance on AI. Proper governance and human oversight are critical to managing these risks effectively(OpenGov)(Scoopearth)(Telecom Review).
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France's upcoming AI summit is set to take a different approach compared to other global discussions by focusing less on the potential existential threats from advanced AI systems and more on the principles of openness, innovation, and addressing practical risks such as labor disruptions and concentration of power in AI development. France aims to push for a more collaborative and inclusive approach, distinguishing itself from U.S. and UK models that emphasize AI security and regulation.
An AI rent-setting algorithm, used by landlords, is being accused of facilitating price fixing in rental markets. Companies like RealPage provide software that helps landlords determine rental prices based on competitors’ data, potentially leading to higher, synchronized rent increases. Critics argue that this practice inflates rental costs by reducing competition and keeping prices artificially high, contributing to the housing affordability crisis. Multiple lawsuits and investigations are underway, with concerns about whether such algorithms enable collusion between landlords, ultimately harming tenants.
Actors and entertainment industry figures, including Mark Hamill, Jane Fonda, and J.J. Abrams, have urged California Governor Gavin Newsom to sign SB 1047, a bill aimed at ensuring safety in AI development. The bill, which has sparked intense debate, would require AI developers to implement and share safety protocols to prevent harm and allow independent investigations into their AI models. While tech companies like Meta and OpenAI oppose the bill, arguing it could stifle innovation, its supporters emphasize the need for guardrails to mitigate AI's potential dangers, including job loss and misuse through deepfakes. The bill's proponents include high-profile industry figures and organizations concerned about AI's societal risks.
The U.S. Commission on Civil Rights has raised concerns about law enforcement's growing use of facial recognition technology (FRT), citing its potential for racial bias and privacy violations. Agencies like the FBI and the Department of Homeland Security have used FRT for over a decade, but the technology remains largely unregulated and lacks transparency. Critics argue that there is insufficient oversight and that FRT disproportionately affects marginalized communities, often leading to wrongful arrests or evictions. The Commission is urging lawmakers to introduce stronger regulations and accountability mechanisms to ensure the fair use of AI tools in law enforcement.
Researchers at the University of Texas at San Antonio (UTSA) are leveraging artificial intelligence (AI) to enhance community resilience, particularly in urban areas facing unique challenges such as poverty and limited access to resources. They aim to create urban digital twins—virtual models that simulate real-time city systems using extensive data on infrastructure and demographics. These digital twins will enable planners and policymakers to visualize and analyze various scenarios regarding urban resilience, helping to identify effective strategies for disaster response and infrastructure improvements. This initiative is part of a broader effort to integrate AI into urban planning and create innovative solutions to pressing community issues.
The Tenant Satisfaction Measures report highlights key findings aimed at enhancing the living experiences of tenants. It emphasizes the importance of understanding tenant feedback to improve services and address concerns effectively. The report outlines specific areas where tenants express satisfaction and dissatisfaction, providing actionable insights for landlords and housing providers. By focusing on these areas, the report advocates for policies and practices that prioritize tenant well-being and foster better relationships between tenants and landlords.
The article on Cavco Industries discusses the company’s role in addressing affordable housing challenges in the U.S. It highlights Cavco’s focus on manufacturing manufactured homes, which provide cost-effective housing solutions. The piece outlines the company’s growth potential in a market with increasing demand for affordable options and emphasizes its commitment to quality and sustainability. Overall, it positions Cavco as a key player in the affordable housing sector, distinct from tech-driven AI solutions.
The Department of Justice (DOJ) has updated its Economic Crime and Compliance Program (ECCP) to address emerging risks associated with artificial intelligence (AI) and enhance protections for whistleblowers. The revisions aim to provide clearer guidance on compliance obligations related to AI usage, emphasizing the importance of identifying and mitigating potential risks. Additionally, the updates strengthen measures to protect individuals who report misconduct, fostering a more robust compliance culture within organizations.
The article discusses the rise of AI-powered threats, particularly focusing on phishing attacks and deepfakes. It highlights how cybercriminals are leveraging advanced AI techniques to create more convincing phishing schemes and realistic deepfake content, posing significant risks to individuals and organizations. The piece emphasizes the need for enhanced cybersecurity measures and awareness to combat these evolving threats effectively.
3L J.D. Candidate | Veterans Policy Analyst | Tax Policy Analyst | VFW-SVA Legislative Fellow 2022 & 2024 | Iraq & Afghanistan War Veteran | **My Views are my own**
5 个月Jean M. Bermúdez Del Valle