Introduction

AI agents are rapidly becoming ubiquitous in our lives, with applications ranging from chatbots to autonomous vehicles. As the capabilities of these agents increase, so too do the potential risks they pose. One of the most significant risks is the potential for AI agents to cross treacherous boundaries, either intentionally or inadvertently. In this article, we will explore what this means and why it is important, as well as examining the benefits and risks of crossing these boundaries.

What are AI agents?

AI agents are computer programs designed to interact with humans or other agents in a way that mimics human behavior. These agents are typically built using machine learning algorithms, which allow them to learn from data and improve their performance over time. Some common examples of AI agents include chatbots, personal assistants, and recommendation systems.

Understanding boundaries

Boundaries can be defined as the limits or constraints that govern the behavior of AI agents. These boundaries can be physical, legal, ethical, or cultural. For example, a self-driving car may be constrained by physical boundaries such as speed limits and road conditions, while a chatbot may be constrained by ethical boundaries such as the prohibition on using offensive language.

Crossing boundaries with AI agents

Crossing boundaries with AI agents refers to situations where the agent’s behavior violates these boundaries. This can occur intentionally, such as when an AI agent is programmed to engage in malicious behavior, or inadvertently, such as when an autonomous vehicle causes an accident due to a programming error.

The benefits of crossing boundaries with AI agents

There are potential benefits to crossing boundaries with AI agents. For example, an AI agent that is able to learn from its environment and adapt its behavior accordingly may be better able to perform its intended task. Additionally, crossing boundaries may lead to new applications and use cases for AI agents.

The risks of crossing boundaries with AI agents

There are also significant risks associated with crossing boundaries with AI agents. These risks include the potential for unintended consequences, such as when an autonomous vehicle causes an accident due to a programming error. Additionally, crossing boundaries may violate legal, ethical, or cultural norms, leading to negative consequences for both the agent and its users.

Ethical considerations

The potential ethical implications of crossing boundaries with AI agents are significant. For example, an AI agent that is programmed to engage in malicious behavior may cause harm to individuals or society as a whole. Additionally, AI agents that are not properly designed may perpetuate bias and discrimination.

Regulatory challenges

Regulating AI agents that cross boundaries presents significant challenges for policymakers. These challenges include determining appropriate legal frameworks and developing effective enforcement mechanisms.

Current applications of AI agents crossing boundaries

There are already numerous examples of AI agents crossing boundaries in various contexts. For example, autonomous vehicles are already on the roads, and chatbots are increasingly being used for customer service. However, these applications are still relatively limited in scope, and significant challenges remain to be addressed.

Future prospects

The future of AI holds great promise, but also significant challenges. As AI agents become more advanced, the potential for crossing boundaries increases. It will be essential for policymakers, developers, and users to work together to ensure that AI agents are designed and deployed in a way that is both safe and ethical.

One potential solution to the risks of crossing boundaries with AI agents is to develop more advanced control mechanisms that allow humans to monitor and intervene in AI behavior. Another solution is to design AI agents to be more transparent and explainable, allowing users to understand how the agent is making decisions and take corrective action if necessary.

Conclusion

In conclusion, crossing treacherous boundaries with AI agents is a complex and important issue. While there are potential benefits to crossing these boundaries, there are also significant risks that must be addressed. It will be essential for policymakers, developers, and users to work together to ensure that AI agents are designed and deployed in a way that is both safe and ethical.

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I am a co-founder of Dodgeball and serve as CTO, meaning my role is to take on potentially any task, though I specialize in technology. 

Dodgeball is a trust and safety orchestration platform. Employing a variety of the latest technologies, including machine learning and no-code automation, we are able to power end-to-end fraud prevention and customer trust operations. We offer trust and safety teams understanding of the real pulse of their operations, additional control, and insight. All while capturing previously lost revenue and delivering a great customer experience.

What are some of the distinctive features of DodgeBall that differentiate you from your competitors?

Dodgeball combines signals from a variety of sources, including customer data stores and external integrations such as payment processors, data enrichment services, and fraud engines to name a few categories. Using AI and all of the signals available, Dodgeball generates a unified customer history providing a single view of their interactions and behavior enabling trust and safety teams to make faster and better decisions. Dodgeball also features a no-code automation builder for orchestrating trust and safety workflows. By creating decisioning logic in Dodgeball, trust and safety teams are further decoupled from development constraints that have historically led to slower responses to emerging threats as systems grow and become more complex. The time between incident and response has a severe impact on revenue lost to both fraud and false declines. Allowing trust and safety teams to adjust decisioning logic in near real-time to respond to observed threats means less loss, higher revenue, and a better customer experience. 

Can you give us a sneak peek into some of the upcoming product upgrades that your customers can look forward to?

Dodgeball is pre-launch. We are looking for early-access partners who are currently experiencing issues with trust and safety on their platforms. Please reach out through our website (https://www.dodgeballhq.com/) for more information.

 Give 3 important tips that can strengthen an organization’s information security program?

Information is intangible, making it difficult to visualize the security measures put in place to protect it. However, if we swap information for something tangible and valuable in our minds, say gold, for instance, it gets much easier to understand the principles of security; just look at a bank:

1. Banks operate on the principles of trust and authority. Only trusted individuals are able to take certain actions, and some actions require the approval of several departments or parties. Treat your infrastructure and data the same way; limit what actions can be taken using an IAM tool to as few trusted individuals as possible.
2. Banks have multiple layers of security in place. If an attacker manages to outwit one security measure, they may be thwarted by another. By making applications more complex to attack without consequences or major preparation, organizations can also deter attacks.
3. Banks practice security drills. By planning for attacks, organizations can make better decisions when they occur. Write down an incident response plan. Figure out which systems to check first for infiltration, how quickly the application can be restored to a previous state, and how quickly external access can be shut down.

Those are a few examples, though there are many more lessons that can be learned by studying organizations that have dealt with issues of trust and safety, such as the government, military, insurance, and information security companies. The ways in which an attacker may harm your organization are constantly evolving, and so too must your defenses and mitigation strategies. 

What trends have you seen emerge in Artificial Intelligence for Data Security in the past couple of years?

Machine learning is at the core of many innovative data security companies out there. There are huge benefits offered by its utilization, though there is much hype and confusion about its limitations. In that vein, be sure you understand how ML is actually utilized when evaluating a new solution to ensure it is a good fit for the technique. I caution that many organizations view it as a silver bullet buzzword for charging higher prices, without demonstrable improvements over existing processes. That being said, ML is changing the world and leading to the disruption of many industries, so it’s a goldmine for innovation when applied thoughtfully.

How do you keep pace with the rapidly growing AI Solutions product for businesses?

Honestly, it can be hard to keep pace with the latest AI solutions, given how quickly they are evolving. It seems like every day there is some new innovative technique, most of which are very problem-specific. Because it can be a full-time job keeping up-to-date with the latest techniques, I recommend subscribing to publications that consolidate the available information for you. Some of my favorite sources are Medium articles, YouTube, industry-focused publications like aiTech Trend, and tracking recent venture capital investments. You can always dive deeper into a particular subject if it catches your eye and looks at the latest academic research published on it. 

When diving deeper into a subject, I recommend attempting to teach it to others to test your recall and determine if there are any terms you do not fully understand. If you drop “CNN” in a conversation, you should be prepared to answer what a convolutional neural network does, how it works, and where it is applicable. This can lead to a lot of digging in the beginning, but it leads to strong foundations on which to accurately discuss a subject.

Where do you see the biggest areas of improvement for AI for IT Operations?

I think we’ve only scratched the surface of what’s possible with AI for IT Operations. Making it easier to implement AI, without the need for programming experience, will increase the number of applications and internal processes AI can be used for. To that end, no-code automation is a large area for improvement.

What breakthroughs in the IoT space are you most looking forward to from a technology perspective?

Bluetooth mesh networking is enabling low-power IoT devices with fault-tolerant communications. This opens up a whole new range of applications across many industries and will lead to a massive influx of additional sensory data about the environment. Filtering and making sense of all that data will require sophisticated AI, and will give organizations a better understanding of their processes.

What is that one quote that has stayed with you throughout your professional life?

“Do the best work in the world that you can, till the best you can do is all done.”

Patrick Bio:

I’m Patrick Teague, the CTO, and co-founder of Dodgeball. In my free time, I enjoy long-distance running, gardening, and making fermented hot sauce, though software is my true passion. I taught myself to program at 13, designed an experiment to test Robert Trivers’ theory of reciprocal altruism, and have been hooked ever since. I am a Founder Institute graduate with 10 years of professional experience in the software engineering industry. I’ve served in positions ranging from junior javascript engineer to chief software architect at companies ranging from pre-seed to Fortune 500. I have worked at companies across many industries that have all experienced issues with trust and safety. I believe the world should hold more trust, as trust is the root of all freedom. I believe that as our lives have increasingly moved online, so has our ability to commit anonymous harm risen. I believe trust and anonymity can coexist, but that we need better solutions than we have available today to protect ourselves.

Dodgeball Bio

For Trust & Safety teams who don’t have the engineering resources to build the platform and processes that work for them, DodgeBall orchestrates both the technology and human elements of their end-to-end operations. With a no-code engine that puts control of fraud tool integrations and policy definition directly in the hands of your team, the Customer Data Platform offers a single pane of glass to investigate and manage visitor risk across the entire transaction journey.

To find out more visit: https://www.dodgeballhq.com/​

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By applying NLP to investment research and analysis, AI can gather key insights, summarize and create potential action steps from data that wealth managers can use in their investment decisions.

What is Artificial Intelligence?

AI is a branch of computer science that’s defined as technology that simulates human-like reasoning by learning from data. In the asset management industry, AI uses computer algorithms to replicate human behavior based on historical data and then make better decisions.

For instance, AI can search across a portfolio and find trades that produce the best results based on historical data.

For example, you can tag information like the date the transaction was made or the instrument the money went to. This would allow AI to be able to look through the data and find relevant data.

What are the benefits of AI in asset management?

AI can perform thousands of jobs that were previously requiring highly-skilled, professional investment professionals.

AI can: Algorithmically predict trading strategy. Find low-cost funds or specific investment strategies. Appraise stocks to provide critical, high-level insights. Accelerate the analysis and discovery process. The growing demand for quantitative data is motivating asset managers to move quickly to embrace AI.

The National Council of Underwriting Management states that more than two-thirds of insurance companies are using data analytics to better understand their clients and to grow their businesses. Asset managers that embrace AI will benefit from greater productivity and reduced costs, as well as improved risk management and profitability.

How does AI assist in investment decisions?

To create tailored investment solutions, asset management companies use both structured and unstructured data to guide investment recommendations. This type of structured data refers to data that can be categorized into specific logical boxes that AI can interpret. Unstructured data refers to data that can’t be stored or reviewed into logical, linear categories.

The introduction of AI can transform the way wealth managers approach investment research by analyzing financial, data, and social media content to create more valuable investment recommendations. Hiring the right technology is just the first step. Ensuring it is in the right place to support your business requires strong data management, user experience design, and intuitive design.

Conclusion

The asset management industry is changing at a rapid rate and the adoption of innovative tools and services is accelerating. Financial firms are turning to AI to identify investment opportunities and better monitor macro-economic and industry-specific trends, as well as to implement the right strategy to drive out performance and capture value for clients.

The asset management industry has been a leader in using emerging technology in recent years and is likely to remain so in the future. As fintech start-ups continue to enter the asset management space and invest in technologies such as AI and blockchain, the future of financial services is likely to be defined by technology. However, AI can only be leveraged if there is strong industry-wide adoption.

The post AI Asset Management: How AI Is Changing The Way We Invest first appeared on AITechTrend.

“As institutional demand for transparent, exchange-listed crypto derivatives continues to increase, we are pleased to launch our new Ether futures contract,” said Tim McCourt, CME Group Global Head of Equity Index and Alternative Investment Products. “The addition of Ether, along with our liquid Bitcoin futures and options, will create new opportunities for a broad array of clients, whether they are looking to hedge ether positions in the spot market or gain exposure to this cryptocurrency on a regulated derivatives marketplace.”

“Just like in other capital markets, derivatives have become the avenue of choice for institutions to access cryptocurrencies,” said Sui Chung, CEO of CF Benchmarks. “Our status as a U.K. FCA regulated benchmark provider, whose compliance is regularly audited by Deloitte, gives institutions further confidence to enter the cryptocurrency space via the CME Ether futures contact based on our CME CF Ether-Dollar Reference Rate. For the first time, investors can gain exposure to the second-largest cryptocurrency by market cap via a U.S.-regulated futures contract. Just as Bitcoin futures paved the way for institutions to enter the crypto market in 2017, so CME Ether futures will allow CME Group clients to gain even greater exposure to the asset class.”

“CME Group has been an integral participant in the continued institutionalization of this asset class, and the launch of Ether futures is yet another milestone,” said Michael Moro, CEO of Genesis Global Trading Inc. “Genesis is excited to continue to work closely with CME in this effort.” 

“The launch of CME Ether futures is an exciting addition to the digital assets ecosystem as it evidences the ongoing maturation of the asset class as a whole,” said Michael Sonnenshein, CEO of Grayscale Investments. “At Grayscale Investments, we’ve seen enormous growth in investor interest for Ethereum and we’re excited to see the growing list of financial product offerings expanding access to digital currencies.”

CME Ether futures are cash-settled, based on the CME CF Ether-Dollar Reference Rate, which serves as a once-a-day reference rate of the U.S. dollar price of Ether. Ether futures are listed on and subject to the rules of CME.

For more information on this product, please visit www.cmegroup.com/etherfutures.

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