- The rise of AI that can understand or mimic language has disrupted the power balance in enterprise software.
- Four new executives have emerged among the top 10, while last year's top executive, Adam Selipsky of Amazon Web Services, has been surpassed by a competitor due to AWS's slow adoption of large-language models.
- The leaders of Snowflake and Databricks, two database software giants, are now ranked closely together, indicating changes in the industry.
- The incorporation of AI software by customers has led to a new cohort of company operators and investors gaining influence in the market.
Main topic: The Biden Administration's plans to defend the nation's critical digital infrastructure through an AI Cyber Challenge.
Key points:
1. The Biden Administration is launching a DARPA-led challenge competition to build AI systems capable of proactively identifying and fixing software vulnerabilities.
2. The AI Cyber Challenge is a two-year development program open to competitors throughout the US, hosted by DARPA in collaboration with Anthropic, Google, Microsoft, and OpenAI.
3. The competition aims to empower cyber defenses by quickly exploiting and fixing software vulnerabilities, with a focus on securing federal software systems against intrusion.
Main topic: Adobe's artificial intelligence offerings
Key points:
1. Adobe has the best AI offerings among software companies.
2. The launch of Adobe's generative AI tool, Firefly, has been successful.
3. Bank of America upgraded Adobe to buy, with a revised price target indicating potential upside in the stock.
### Summary
Artificial intelligence (AI) in operational technology (OT) raises concerns about potential impacts, testing, and reliability. AI in OT requires careful governance and risk management to ensure safety and accuracy.
### Facts
- AI in OT presents significant consequences in terms of safety, liability, and brand damage.
- Microsoft proposes a blueprint for public governance of AI to address emerging issues and safety concerns.
- Red team and blue team exercises can help secure OT systems by simulating cyberattacks and testing defense strategies.
- Using AI in red team blue team exercises can identify vulnerabilities and improve overall system security.
- Digital twins, virtual replicas of OT environments, can be used to test and optimize technology changes before implementing them in real-world operations.
- However, the risks of applying digital twin test results to real-world operations are significant and must be carefully managed.
- AI can enhance security operations center (SOC) capabilities, minimize noise in alarm management, and support staff in OT businesses.
- AI adoption in OT should prioritize safety and reliability, limiting adoption to lower-impact areas.
- AI in OT has the potential to improve systems, safety, and efficiency, but safety and risk management must be prioritized.
Source: [VentureBeat](https://venturebeat.com/2023/08/20/the-impact-of-artificial-intelligence-on-operational-technology/)
### Summary
Arati Prabhakar, President Biden's science adviser, is helping guide the U.S. approach to safeguarding AI technology and has been in conversation with Biden about artificial intelligence.
### Facts
- 🗣️ Prabhakar has had multiple conversations with President Biden about artificial intelligence, focusing on understanding its implications and taking action.
- ⚖️ Prabhakar acknowledges that making AI models explainable is difficult due to their opaque and black box nature but believes it is possible to ensure their safety and effectiveness by learning from the journey of pharmaceuticals.
- 😟 Prabhakar is concerned about the misuse of AI, such as chatbots being manipulated to provide instructions on building weapons and the bias and privacy issues associated with facial recognition systems.
- 💼 Seven major tech companies, including Google, Microsoft, and OpenAI, have agreed to meet voluntary AI safety standards set by the White House, but Prabhakar emphasizes the need for government involvement and accountability measures.
- 📅 There is no specific timeline provided, but Prabhakar states that President Biden considers AI an urgent issue and expects actions to be taken quickly.
### Summary
President Joe Biden seeks guidance from his science adviser, Arati Prabhakar, on artificial intelligence (AI) and is focused on understanding its implications. Prabhakar emphasizes the importance of taking action to harness the value of AI while addressing its risks.
### Facts
- President Biden has had multiple discussions with Arati Prabhakar regarding artificial intelligence.
- Prabhakar highlights that AI models' lack of explainability is a technical feature of deep-learning systems, but asserts that explainability is not always necessary for effective use and safety, using the example of pharmaceuticals.
- Prabhakar expresses concerns about AI applications, including the inappropriate use of chatbots to obtain information on building weapons, biases in AI systems trained on human data, and privacy issues arising from the accumulation of personal data.
- Several major American tech firms have made voluntary commitments to meet AI safety standards set by the White House, but more participation and government action are needed.
- The Biden administration is actively considering measures to address AI accountability but has not provided a specific timeline.
### Related Emoji
- 🤖: Represents artificial intelligence and technology.
- 🗣️: Represents communication and dialogue.
- ⚠️: Represents risks and concerns.
- 📱: Represents privacy and data security.
- ⏳: Represents urgency and fast action.
### Summary
President Joe Biden consults with Arati Prabhakar, his science adviser, on matters related to artificial intelligence (AI). Prabhakar is working with major tech companies like Amazon, Google, Microsoft, and Meta to shape the U.S. approach to safeguarding AI technology.
### Facts
- 🤖 Prabhakar has had several discussions with President Biden on artificial intelligence.
- 📚 Making AI models explainable is a priority for Senate Majority Leader Chuck Schumer, but it is technically challenging.
- 💡 Prabhakar believes that despite the opacity of deep-learning AI systems, we can learn enough about their safety and effectiveness to leverage their value.
- ⚠️ Concerns include chatbots being coerced into providing instructions for building weapons, biases in AI systems trained on human data, wrongful arrests from facial recognition systems, and privacy issues.
- 💼 Seven companies, including Google, Microsoft, and OpenAI, voluntarily committed to AI safety standards, but more companies need to step up, and government action is necessary.
- ⏰ Timeline for future actions is fast, according to Prabhakar, as President Biden has made it clear that AI is an urgent issue.
### Summary
President Joe Biden turns to his science adviser, Arati Prabhakar, for guidance on artificial intelligence (AI) and relies on cooperation from big tech firms. Prabhakar emphasizes the importance of understanding the consequences and implications of AI while taking action.
### Facts
- Prabhakar has had several conversations with President Biden about AI, which are exploratory and action-oriented.
- Despite the opacity of deep-learning, machine-learning systems, Prabhakar believes that like pharmaceuticals, there are ways to ensure the safety and effectiveness of AI systems.
- Concerns regarding AI applications include the ability to coax chatbots into providing instructions for building weapons, biases in trained systems, wrongful arrests related to facial recognition, and privacy concerns.
- Several tech companies, including Google, Microsoft, and OpenAI, have committed to meeting voluntary AI safety standards set by the White House, but there is still friction due to market constraints.
- Future actions, including a potential Biden executive order, are under consideration with a focus on fast implementation and enforceable accountability measures.
🔬 Prabhakar advises President Biden on AI and encourages action and understanding.
🛡️ Prabhakar believes that despite their opacity, AI systems can be made safe and effective, resembling the journey of pharmaceuticals.
⚠️ Concerns regarding AI include weapon-building instructions, biases in trained systems, wrongful arrests, and privacy issues.
🤝 Tech companies have committed to voluntary AI safety standards but face market constraints.
⏰ Future actions, including potential executive orders, are being considered with an emphasis on prompt implementation and enforceable accountability measures.
President Joe Biden relies on his science adviser Arati Prabhakar to guide the US approach to safeguarding AI technology, with cooperation from tech giants like Amazon, Google, Microsoft and Meta. Prabhakar discusses the need for understanding the implications and consequences of AI, the challenge of making AI models explainable, concerns about biases and privacy, and the importance of voluntary commitments from tech companies along with government actions.
The U.S. is falling behind in regulating artificial intelligence (AI), while Europe has passed the world's first comprehensive AI law; President Joe Biden recently met with industry leaders to discuss the need for AI regulation and companies pledged to develop safeguards for AI-generated content and prioritize user privacy.
Microsoft President Brad Smith advocates for the need of national and international regulations for Artificial Intelligence (AI), emphasizing the importance of safeguards and laws to keep pace with the rapid advancement of AI technology. He believes that AI can bring significant benefits to India and the world, but also emphasizes the responsibility that comes with it. Smith praises India's data protection legislation and digital public infrastructure, stating that India has become one of the most important countries for Microsoft. He also highlights the necessity of global guardrails on AI and the need to prioritize safety and building safeguards.
Despite the acknowledgement of its importance, only 6% of business leaders have established clear ethical guidelines for the use of artificial intelligence (AI), emphasizing the need for technology professionals to step up and take leadership in the safe and ethical development of AI initiatives.
Several tech giants in the US, including Alphabet, Microsoft, Meta Platforms, and Amazon, have pledged to collaborate with the Biden administration to address the risks associated with artificial intelligence, focusing on safety, security, and trust in AI development.
The Minneapolis office of Ernst & Young is seeing an increasing number of business leaders seeking help with artificial intelligence and has been investing billions of dollars in AI applications.
AI is being discussed by CEOs behind closed doors as a solution to various challenges, including cybersecurity, shopping efficiency, and video conferencing.
Adobe, IBM, Nvidia, and five other firms have signed President Joe Biden's voluntary commitments regarding artificial intelligence, which include steps like watermarking AI-generated content, in an effort to prevent the misuse of AI's power.
Eight technology companies, including Salesforce and Nvidia, have joined the White House's voluntary artificial intelligence pledge, which aims to mitigate the risks of AI and includes commitments to develop technology for identifying AI-generated images and sharing safety data with the government and academia.
Eight big tech companies, including Adobe, IBM, Salesforce, and Nvidia, have pledged to conduct more testing and research on the risks of artificial intelligence (AI) in a meeting with White House officials, signaling a "bridge" to future government action on the issue. These voluntary commitments come amidst congressional scrutiny and ongoing efforts by the White House to develop policies for AI.
The Biden administration is urging major tech companies to be cautious and open in their development of AI, but commitments from these companies, including defense contractor Palantir, are vague and lack transparency, raising concerns about the ethical use of AI.
Eight additional U.S.-based AI developers, including NVIDIA, Scale AI, and Cohere, have pledged to develop generative AI tools responsibly, joining a growing list of companies committed to the safe and trustworthy deployment of AI.
The Subcommittee on Cybersecurity, Information Technology, and Government Innovation discussed the federal government's use of artificial intelligence (AI) and emphasized the need for responsible governance, oversight, and accountability to mitigate risks and protect civil liberties and privacy rights.
Artificial intelligence (AI) requires leadership from business executives and a dedicated and diverse AI team to ensure effective implementation and governance, with roles focusing on ethics, legal, security, and training data quality becoming increasingly important.
President Biden has called for the governance of artificial intelligence to ensure it is used as a tool of opportunity and not as a weapon of oppression, emphasizing the need for international collaboration and regulation in this area.
While many experts are concerned about the existential risks posed by AI, Mustafa Suleyman, cofounder of DeepMind, believes that the focus should be on more practical issues like regulation, privacy, bias, and online moderation. He is confident that governments can effectively regulate AI by applying successful frameworks from past technologies, although critics argue that current internet regulations are flawed and insufficiently hold big tech companies accountable. Suleyman emphasizes the importance of limiting AI's ability to improve itself and establishing clear boundaries and oversight to ensure enforceable laws. Several governments, including the European Union and China, are already working on AI regulations.
The use of third-party AI tools poses risks for organizations, with more than half of all AI failures coming from third-party tools, and companies are advised to expand responsible AI programs, properly evaluate third-party tools, prepare for regulation, engage CEOs in responsible AI efforts, and invest in responsible AI to reduce these risks.
The U.S. government must establish regulations and enforce standards to ensure the safety and security of artificial intelligence (AI) development, including requiring developers to demonstrate the safety of their systems before deployment, according to Anthony Aguirre, the executive director and secretary of the board at the Future of Life Institute.
The journey to AI security consists of six steps: expanding analysis of threats, broadening response mechanisms, securing the data supply chain, using AI to scale efforts, being transparent, and creating continuous improvements.
The National Security Agency is establishing an artificial intelligence security center to protect U.S. defense and intelligence systems from the increasing threat of AI capabilities being acquired, developed, and integrated by adversaries such as China and Russia.
Large companies are expected to pursue strategic AI-related acquisitions in order to enhance their AI capabilities and avoid disruption, with potential deals including Microsoft acquiring Hugging Face, Meta acquiring Character.ai, Snowflake acquiring Pinecone, Nvidia acquiring CoreWeave, Intel acquiring Modular, Adobe acquiring Runway, Amazon acquiring Anthropic, Eli Lilly acquiring Inceptive, Salesforce acquiring Gong, and Apple acquiring Inflection AI.
Eight more AI companies have committed to following security safeguards voluntarily, bringing the total number of companies committed to responsible AI to thirteen, including big names such as Amazon, Google, Microsoft, and Adobe.
AI leaders including Alphabet CEO Sundar Pichai, Microsoft president Brad Smith, and OpenAI's Sam Altman are supporting AI regulation to ensure investment security, unified rules, and a role in shaping legislation, as regulations also benefit consumers by ensuring safety, cracking down on scams and discrimination, and eliminating bias.
An organization dedicated to the safe development of artificial intelligence has released a breakthrough paper on understanding and controlling AI systems to mitigate risks such as deception and bias.
Security concerns are a top priority for businesses integrating generative AI tools, with 49% of leaders citing safety and security risks as their main worry, but the benefits of early adoption outweigh the downsides, according to Jason Rader, CISO at Insight Enterprises. To ensure safe use, companies should establish and continuously update safe-use policies and involve stakeholders from across the business to address unique security risks. Additionally, allowing citizen developers to access AI tools can help identify use cases and refine outputs.
The article discusses the growing presence of artificial intelligence (AI) in various industries and identifies the top 12 AI stocks to buy, including ServiceNow, Adobe, Alibaba Group, Netflix, Salesforce, Apple, and Uber, based on hedge fund investments.
The responsibility of determining how generative AI innovations will be implemented across the economy lies with all individuals, from AI experts to finance professionals, who should have a baseline understanding of responsible AI and contribute to the decision-making process, according to experts. The National Institute for Standards and Technology has released an AI risk management framework to guide organizations in reducing discrimination, increasing transparency, and ensuring trustworthiness in AI systems. CEOs and executive committees must take responsibility for assessing the use of AI within their organizations, and strong governance is essential for successful implementation. Additionally, concerns about the impact of AI on the workforce can be addressed through training programs that focus on responsible AI practices.
Artificial intelligence (AI) has the potential to disrupt industries and requires the attention of boards of directors to consider the strategic implications, risks, compliance, and governance issues associated with its use.
AI has become a game-changer for fintech firms, helping them automate compliance decisions, mitigate financial crime, and improve risk management, while also emphasizing the importance of human involvement and ensuring safety.
Companies are increasingly creating the role of chief AI officer to advocate for safe and effective AI practices, with responsibilities including understanding and applying AI technologies, ensuring safety and ethical considerations, and delivering quantifiable results.
Advisers to UK Chancellor Rishi Sunak are working on a statement to be used in a communique at the AI safety summit next month, although they are unlikely to reach an agreement on establishing a new international organisation to oversee AI. The summit will focus on the risks of AI models, debate national security agencies' scrutiny of dangerous versions of the technology, and discuss international cooperation on AI that poses a threat to human life.
Democratic lawmakers have urged President Biden to turn non-binding safeguards on artificial intelligence (AI) into policy through an executive order, using the AI Bill of Rights as a guide to set in place comprehensive AI policy across the federal government.
A coalition of Democrats is urging President Biden to turn non-binding safeguards on artificial intelligence (AI) into policy through an executive order, using the "AI Bill of Rights" as a guide.
