Archive for the ‘Artificial Intelligence’ Category

Italian Priest: Artificial Intelligence Prompts Us to Think About What It Means to Be Truly Human – National Catholic Register

On April 21, the European Commission unveiled its proposals for a legal framework on Artificial Intelligence (AI) with the aim of regulating its use to protect the privacy of European citizens and their fundamental rights.

AI, as defined by the European Parliament, is the ability of a machine to display human-like capabilities such as reasoning, learning, planning and creativity. Contrary to automation or programming, such a machine can take a decision without human intervention. AI includes various technologies and covers many areas of everyday life, from the health sector to services, transportations and customer relations.

The new European AI legal project, which will be debated and potentially adopted by various European states in the coming years, is considered the largest ever undertaken in the west. As new technologies are developing faster and faster and play an increasingly important role in citizens life amidst the ongoing pandemic health restrictions the European Commission is seeking to limit potential abuses connected to their use, notably by banning high risk systems like biometric recognition in public spaces (with a few exceptions) and social credit systems, and the use of AI to manipulate human behavior or to exploit the vulnerabilities of individuals or groups.

With the commissions almost 100-page document already arousing debate and criticism for not being sufficiently protective, or conversely for braking innovation, the Register sought the views of Father Luca Peyron, priest of the archdiocese of Turin (northern Italy) and founder of the Digital Apostolate Service, one of the first services worldwide to address the connection between the digital world and faith.

The author of several publications about AI from an ethical and theological perspective, Father Peyron has stood out as an authority in this field over the past years.

Commenting about the subject with the Register, he explained that while AI necessarily carries risks, it could never compete with human intelligence, whose dimensions are only just beginning to be explored. He also believes that the Church represents a much-needed voice in this public debate, and should address these issues in a more direct and audacious way.

The European Commission has just taken on a very ambitious legal project to address the potential risk connected to AI. Is this legislation moving in the right direction according to you?

It seems to me that it is along the right lines for a number of reasons and I would say that it shows an interesting display of courage on the part of these European authorities as it implies the creation of a legal and economic space that in some way claims its own independence, without losing the founding values of the European Union. This perhaps also derives from the fact of having understood that 650 million European citizens are also an economic pool of consumers that can be significant.

What is new and important is first of all the idea that a legislation must be placed before the creation of an artificial intelligence service or product, in such a way that they are designed from this value framework. This aspect seems prophetic to me because legislation that tends to chase technological innovations always risks being late, because innovation always goes much faster than the ability of nation or states to legislate, not to mention international consensus.

The other aspect that seems important to me is that it reveals a true anthropocentrism. Everything is perfectible, but the human being seems to me to be the ultimate goal of this process. That is, it is not only artificial intelligence that must not damage the human being. It seems to me that the direction of thought here is to help the human being to be himself. And this is a valuable orientation.

Yet, several associations for the protection of individual rights and European deputies have denounced the fact that the use of facial recognition technology in public places could be allowed in some contexts, notably within the framework of crime investigations. These critics say it paves the way for mass surveillance. What do you think about it?

We can never completely avoid risks. When we build a prison, there is always the risk that a dictator will fill it, and following that logic, we should no longer build prisons. The moment there are judges who can decide on the freedom of a fellow citizen, there can be a corrupt judge who acts in bad faith. It is clear that since there are instruments that affect personal freedom, there is a risk that these instruments will be used badly.

It is evident that from the moment that some processes are automated, it is likely to generate new injustices. But I don't think there is any legislation or tool in the history of mankind that has not been potentially harmful. I believe that the denialist approach to technology risks suspending in limbo the application of norms with respect to certain real issues. We practically worry about what is happening in an airport, when in fact it is happening inside our homes with our smartphones.

The facial recognition tools are potentially dangerous, indeed. But this issue implies that we take responsibility and identify who is accountable in a timely and precise fashion. It is also true that a European legislation can never replace a digital culture able to deal with these issues.

How do you explain the lack of a proper digital culture in the West?

The truth is that most of Western people even the most cultured circles still dont know what AI is. It is a technology that is still, and too much, in the hands of too few people who understand its scope and who, in fact, risk taking advantage of the ignorance of the public in the use of these technologies. What needs to be more and more widespread is a culture of debate on this issue and a real knowledge of what we are talking about.

AI seems almost something esoteric or magical to most people nowadays. In this sense, the word artificial counts more than intelligence in peoples imagination. We must bear in mind that artificial intelligence is not that intelligent. We today look at machines as if they could do much more than what they are capable of doing in reality. We should perhaps get used to focusing on humans again and be concerned about the fact that there isnt a proper and widely spread virtue ethic, rather than being afraid that there isnt a substantial enough ethic of AI.

Youve just said that this new legislation could be perfectible. What would you improve?

I think that the relationship between human and technology is still not that clear. In the sense that the definition of what is actually human is still too weak. The definition of what is actually technological is still too general. One big advantage that AI can give us is a real reflection on what is truly human and what is not. We have defined as intelligent what is not intelligent. And weve called human things that are not really human. I think we still have so much to discover about what human is and can become. The greatest gift that technology can give us today is to bring us a new reflection on what the human actually is. This is one of the greatest challenges that this time poses us.

How should the Catholic Church position itself with respect to these issues?

In its dialogue with the world, the Church enjoys a very large attention on these very issues nowadays. I believe that this is an extraordinary opportunity for a re-evaluation of human rights and their effective implementation. We realize that these are global phenomena, to which we need to respond on a global level, as much as possible. We do not have a globally shared ethic. Human rights are the only shared ethic. In order to get a shared horizon, we should go back to human rights and ensure that they have also thanks to technology, paradoxically a new season of vitality. On this matter, the Church certainly has something to say.

Another very important aspect for the Church is the possibilities of inclusion and exclusion that some technologies imply. AI is a very powerful technique. This means that it can greatly widen the gap between rich and poor or it can be a tool that narrows that gap. Technology can trivially use statistics to keep excluding the excluded or to identify them and then put them back in the game. But this stems from a political choice.

In the relationship of dialogue between the Church and the world and in educating the various generations to a synergistic coexistence with this kind of energy, surely the Church has something significant to teach. Because we remain one of the very few institutions that has an absolutely precise mission and vision. We have an anthropology, a metaphysics, an anthology, a philosophy, a moral doctrine that are organic, logical, that hold together and are not ideological.

In the twilight of the great ideologies, and in the great darkness that these ideologies have generated, we have a lumen fidei, a light that comes from faith, but that does not exclude rationality and logicality. We can give this reasonableness to the world and I believe that the world is willing to listen.

Is it something youve been witnessing, as a priest and expert in AI?

Over the past two years, I have been asked to give lectures and classes mostly in non-ecclesiastical contexts. It looks like there is a greater focus on what the Church has to say on these issues ... outside the Church.

I think that, inside the Church, we should also realize that dealing with these issues is dealing with the Gospel. Digital transformation is a sign of the times and as such, we need to listen to the Holy Spirit and have him and Christ reach out to us for guidance. Perhaps we struggle to see this as a fruitful field because it is totally new. But all things considered, the issues that AI touches are those that the Church has always addressed, because they concern the human dimension, its relationship with limits, with God. We must have the courage to go beyond the fear we have of all this because we do not understand it well, to discover that it is perfectly comprehensible and that we are already equipped to deal with it and give answers.

Is homo sapiens only a transition toward machina sapiens, as some experts have been wondering during a conference promoted by the Vatican in 2017?

We have a very limited knowledge of human intelligence. Do we actually believe we can create an artificial intelligence that would be better than a human intelligence that we dont even know properly?

Today, a 4-year-old child is able to move through a reality in a way that is infinitely better than any autonomous artificial intelligence system. Artificial intelligence requires a huge effort to work, and loads of energy and data. Any human being with an infinitesimal amount of data and energy is capable of doing better.

The human being that technology is able to replace is a being that is simply able to function. It is not a human being in all the beauty of his being.

Yes, technology is able to replace the human, it was created for this, and to solve problems. But the human being was not born to solve problems. He was born to enter into relationship with others, with himself and with God. These are two very different things. If we look at the human being as the one who does things, then yes, technology can imitate him because it does things. But if we look at the human being as the one who is the image and likeness of his Creator, then technology will never imitate him.

Many historians of ideas see the Renaissance as a turning point in the history of humanity, as human beings stopped seeing themselves as the summit of Creation to become the center of the universe. Does this AI advent represent the emergence of a new paradigm according to you? If so, what could it look like?

With the modern era, everything was reduced to power and mightiness. I think we need to take a leap back, and not see technology as a mere instrument of power, to turn it into a service. After the balance of terror of the 80s, during the Cold War, we rediscovered nuclear power as it was originally meant, that is, an energy for the good of humanity. This also applies to technology. As long as technology is an instrument of power, it will always be a dangerous instrument. When it becomes a tool geared towards the common good, it becomes something that makes us less afraid and that can perhaps help us coexist on this planet.

The coronavirus crisis has taught us clearly that we cannot live as individuals but that we must live as one body, as St. Paul once wrote. Salvation comes from Christ, and AI can also remind us that it is not technology that saves us, but the Savior.

What can be the possible bulwarks of ethics and humanity in the face of the risks that AI also represents?

Children. We must take the child as our boundary. Human rights must be defined with respect to children. Artificial intelligence has to guard the life of a child, to adapt to his capabilities, etc. Then, we would have the guarantee of a boundary. Because preserving children means generating life, helping life to grow. If the most fragile are the standard of measurement for everything, then we will have the guarantee that none of us, even the most fragile, can be crushed by AI.

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Italian Priest: Artificial Intelligence Prompts Us to Think About What It Means to Be Truly Human - National Catholic Register

Artificial Intelligence Market: Valuable Applications for host of Functions across a Spectrum of Industries extends lucrative growth Opportunities,…

ALBANY, N.Y., May 3, 2021 /PRNewswire/ -- Seeming relatively new, the conception of artificial intelligence (AI) dates back to 1955 which was founded as an academic discipline. Since then, course of the technology has been a like that of a rollercoaster, with a mix of waves of elevation and dip, nonetheless, in the more recent times has witnessed new approaches, success and renewed funding. Meanwhile, with strong basis, advocates of AI and experts say AI will amplify human capabilities and disrupt eons-old human activities. This, currently, is already being experienced for complex decision-making, visual acuity, reasoning and learning, speech recognition and language translation, and sophisticated analytics and pattern recognition tasks.

With such a wide expanse of capabilities, the optimism for AI to boost the efficiency and effectiveness of business processes in nearly every industry is well received. For example, the healthcare industry perceives AI and its many applications can improve patient care to a great extent, by way of diagnosing and treating patients or helping the elderly and disabled live fuller and healthier lives. Such deliberation from the high-value healthcare industry is immense promising for the triumph of artificial intelligence, reckoned for solid applications in other service industries too. Manufacturing, agriculture, and energy are some other industry sectors that look on AI to transform end-to-end business processes to commence in the near-term itself. Therefore, this validates outstanding `growth with ~29% CAGR of the artificial intelligence market from 2020-2030.

Artificial Intelligence Market Key Findings of the Report

Sizeable use of AI-based Products, Mobile Apps amidst COVID-19 for Comprehensive Monitoring opens Unknown Opportunities

In the current crisis of COVID-19, big data and AI are being used extensively to monitor and handle the situation effectively. Health authorities, frontline workers, and health caregivers are leveraging AI to monitor cases, identify disease clusters, and analyze for future outbreaks. Taking a cue from the effectiveness of current AI systems, stakeholders in the AI market are making concerted efforts to develop early warning systems. Savvy players are reaching out to social platforms and news channels to obtain data and useful information, and use AI-based systems to extrapolate risk of occurrence in vulnerable regions. This creates immense opportunities in the AI market.

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Explore 350 pages of superlative research, current market scenario, and extensive geographical projections. Gain insights into the Artificial Intelligence Market (Component: Hardware, Software, and Services; Application: Virtual Assistants/Chatbots, Forecasts & Modelling, Text Analytics, Speech Analytics, Computer Vision, Predictive Maintenance, and Others; and End User: BFSI, IT & Telecom, Manufacturing, Retail & eCommerce, Healthcare, Government, Energy & Utilities, Media & Entertainment, and Others) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2020-2030 at https://www.transparencymarketresearch.com/artificial-intelligence-market.html

Solid Use for Tangible Advantages of Banking Security, Compliance extends Ample Growth Opportunities

The banking, financial services, and insurance sector reaps sizeable advantages with the deployment of AI for new customer-centric approaches and next-gen business processes. Chatbots or digital personal assistant are the most popular AI-based software used in the banking sector, which helps to answer FAQs of customers.

Besides this, to safeguard the goldmine of personal and confidential information of customers, companies in the AI market are providing AI-enhanced security software for banking processes.

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Furthermore, banking compliance and financial forecasting processes are creating value grab opportunities for players in the artificial intelligence market. For example, automation of manual compliances for Know Your Customer (KYC) and Anti-Money Laundering (AML) exercises are becoming customary in banking services.

Speculations of High worth of Computer Vision Technology in Self-driving Cars, Retail to create New Growth Vistas

Currently nascent, computer vision technology a subset of AI is being used in self-driving automobiles. The self-driving car Tesla by Elon Musk is a recent and popular example of use of computer vision technology. However, the road ahead for self-driving cars to be established, negating the high risk of fatal accidents is quite long.

In the interim, keen players in the AI market are tapping into incremental opportunities in the retail sector, wherein Amazon Go checkout-free self-service retailing is an example.

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Artificial Intelligence Market Growth Drivers

Artificial Intelligence Market Key Players

Explore Transparency Market Research's award-winning coverage of the Global IT & Telecom Industry:

Robot Operating System Market- The global robot operating system (ROS) market is expected to reach a value of US$ 438.0 Mn by 2027 on account of ever expanding robots across a number of industries. The market is projected to expand at a CAGR of 9.2% during the forecast period from 2019 to 2027. The global robot operating system market is mainly driven by rising adoption of ROS in research & innovation and rising expansion of industrial capabilities.

Automated Fingerprint Identification Systems Market- To maintain the confidentiality of information and ensure the security of officials, more and more government institutions are adopting automated fingerprint identification systems. As such, government and security agencies account for the highest revenue in the automated fingerprint identification systems market, with an estimated value of ~US$ 15 billion by the end of 2027.

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Artificial Intelligence Market: Valuable Applications for host of Functions across a Spectrum of Industries extends lucrative growth Opportunities,...

Lantern Pharma and Actuate Therapeutics Announce Research & Development Collaboration Leveraging Lantern’s Artificial Intelligence Platform -…

DALLAS, May 3, 2021 /PRNewswire/ --Lantern Pharma (NASDAQ: LTRN), a clinical stage biopharmaceutical company using its proprietary RADR artificial intelligence ("A.I.") platform to transform the cost, pace, and timeline of oncology drug discovery and development, announced today that it has entered into a research and development collaboration with Actuate Therapeutics. The collaboration will focus on leveraging the RADR machine learning technology, large-scale oncology datasets, and the A.I. platform to accelerate key aspects of Actuate's 9-ING-41 drug candidate, a best-in-class GSK-3 inhibitor in active development in multiple Phase 2 clinical trials, including for pancreatic cancer. The collaboration is expected to start immediately and will potentially generate novel intellectual property that will be jointly owned by the companies.

Daniel Schmitt, President and Chief Executive Officer of Actuate Therapeutics, commented, "Accelerating the development of 9-ING-41 by leveraging the latest techniques in machine learning and genomics has the potential to aid in bringing our life altering therapies to patients faster and with a greater degree of precision. We are committed to leveraging the latest advances in biomarker driven medicine and technology to advance our drug candidates in the most promising sub-types of cancer and in patients who may have the highest likelihood to benefit from our therapy." In a study published on February 23, 2021 in the journal Cancer Medicine, Dr. Jayson Parker from the University of Toronto and his co-authors provided systematic statistical evidence that biomarkers when used in patient stratification and monitoring in oncology clinical trials improve the likelihood of drug regulatory approvals by a factor of five.

Lantern Pharma recently announced that the RADRplatform had surpassed 4.6 billion datapoints and had advanced certain aspects of automation and machine learning as a result of the latest development campaign. The latest development campaign was aimed at improving the predictive power of the biomarker signatures created by RADR and the ability to potentially impact drug development in a broader range of solid tumor subtypes. Lantern expects that RADR will surpass 10 billion curated and tagged oncology datapoints over the next 12 months, which has the potential to make the platform even more useful across a broader range of cancer development and drug development or rescue programs.

Panna Sharma, CEO and President of Lantern Pharma, stated, "Companies like Actuate that are adopting methods that are at the forefront of this new era of data and A.I. guided drug development have the potential to conduct future clinical trials with biomarker signatures that have been generated at a fraction of the cost of traditional techniques. Using highly scalable machine-learning methods to guide drug development can potentially yield new biological insights, while also increasing response rates and improving outcomes in clinical trials."

Under the terms of the collaboration, Lantern Pharma will receive upfront equity in Actuate Therapeutics subject to meeting certain conditions of the collaboration, as well as development milestones in the form of additional equity if results from the collaboration are utilized in future development efforts. No further financial details were disclosed.

Contact

Marek Ciszewski, J.D.Director, Investor Relations628-777-3167[emailprotected]

About Actuate Therapeutics

Actuate Therapeutics, Inc. is a clinical stage pharmaceutical company focused on the development and commercialization of novel therapeutics for cancers and inflammatory diseases. For additional information, please visit the company'swebsite at http://www.actuatetherapeutics.com.

About Lantern Pharma

Lantern Pharma (Nasdaq: LTRN) is a clinical-stage oncology-focused biopharmaceutical company leveraging its proprietary RADR A.I. platform and machine learning to discover biomarker signatures that identify patients most likely to respond to its pipeline of genomically-targeted therapeutics. Lantern is currently developing four drug candidates and an ADC program across seven disclosed tumor targets, including two phase 2 programs. By targeting drugs to patients whose genomic profile identifies them as having the highest probability of benefiting from the drug, Lantern's approach represents the potential to deliver best-in-class outcomes. More information is available at: http://www.lanternpharma.com and Twitter @lanternpharma.

Forward-looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements include, among other things, statements relating to: future events or our future financial performance; our strategic plans to advance our collaboration with Actuate Therapeutics; the potential advantages of our RADR platform in identifying drug candidates and patient populations that are likely to respond to a drug candidate; the utilization of our RADR platform to streamline the drug development process; and our intention to leverage artificial intelligence, machine learning and genomic data to streamline and transform the pace, risk and cost of oncology drug discovery and development and to identify patient populations that would likely respond to a drug candidate. Any statements that are not statements of historical fact (including, without limitation, statements that use words such as "anticipate," "believe," "contemplate," "could," "estimate," "expect," "intend," "seek," "may," "might," "plan," "potential," "predict," "project," "target," "objective'" "aim," "should," "will," "would," or the negative of these words or other similar expressions) should be considered forward-looking statements. There are a number of important factors that could cause our actual results to differ materially from those indicated by the forward-looking statements, such as (i) the impact of the COVID-19 pandemic, (ii) the risk that our collaboration with Actuate Therapeutics may not be successful and may not yield meaningful results, (iii)the risk that no drug product based on our proprietary RADR A.I. platform has received FDA marketing approval or otherwise been incorporated into a commercial product, (iv) the risk that none of our product candidates has received FDA marketing approval, and we may not be able to successfully initiate, conduct, or conclude clinical testing for or obtain marketing approval for our product candidates, and (v) those other factors set forth in the Risk Factors section in our Annual Report on Form 10-K for the year ended December 31, 2020, filed with the Securities and Exchange Commission on March 10, 2021. You may access our Annual Report on Form 10-K for the year ended December 31, 2020 under the investor SEC filings tab of our website at http://www.lanternpharma.com or on the SEC's website at http://www.sec.gov. Given these risks and uncertainties, we can give no assurances that our forward-looking statements will prove to be accurate, or that any other results or events projected or contemplated by our forward-looking statements will in fact occur, and we caution investors not to place undue reliance on these statements. All forward-looking statements in this press release represent our judgment as of the date hereof, and, except as otherwise required by law, we disclaim any obligation to update any forward-looking statements to conform the statement to actual results or changes in our expectations.

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Lantern Pharma and Actuate Therapeutics Announce Research & Development Collaboration Leveraging Lantern's Artificial Intelligence Platform -...

Artificial Intelligence is the Most Disruptive Technology of the Century – Analytics Insight

Artificial intelligence seems to be the next big thing in many industries today. The technology is infiltrating every sector and transforming the tasks that computers perform into a lot of hype. Starting from fitness-focused smartphone apps that adapt to womens menstrual cycle to autonomous vehicles that use sensors and software to dodge at stray animals, artificial intelligence has influenced every part of human life. It has evolved from being just a trend to a core ingredient virtually across every aspect of computing. In the modern world, businesses across diverse sectors use artificial intelligence as a tool to meet their goals, be it customer service through an intuitive chatbot or streamlining video production through synthetic voiceovers. For a term that dates back to 1956 and celebrates its 65th birthday this year, artificial intelligence has performed and revolutionized more than how anybody imagined.

As years passed, humans gained great faith in technology and machines, which eventually accelerated artificial intelligence adoption. Today, the role of artificial intelligence in an enterprise has become so important that it has touched every facet of business, and its crucial place will significantly grow over the coming years. Artificial intelligence, though revolutionary in itself, is an enabler that needs to be used effectively to achieve business objectives. Businesses are using AI agents to engage customers, rapidly create content, analyze transactions and detect fraud. Even though it comes with a lot of flaws, the speediness, customized content, and target recommendations, overweigh the cons.

AI-driven technologies have the potential to enhance our lives as both learners and workers. Researchers and developers are continuously improving them to mimic human behaviors in routines like learning, problem-solving, and processing language. While they are growing to be strong imitators of humans, they still lack essential human traits such as wisdom, insight, humor, and empathy. Fortunately, the next generations AI will carry all the objectives that humans think are essential for machines to cope up with them. The technological capabilities will attempt to solve real-world issues, moving beyond doing repetitive and routine works.

While big guys like Amazon, Apple, Google, and Microsoft scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technologies and services. The rise of digitization and the thirst for automation are fuelling the demand for AI solutions. Not just companies, even the governments are focusing on deep research in the field of finding, investing, and growing local talent to make their country the AI hub. Artificial intelligence companies are also initiating to deliver a robust service to their customers by using sub-technologies like machine learning, deep learning, edge computing, business intelligence, etc. as their prominent business principle. In a nutshell, artificial intelligence is used as a tool to integrate multiple sources of data or a vast amount of data, data security, real-world applications, predictions, cloud operations, etc. With the arena of AI technologies at the beginning, the world has experienced so much so far. The future is anticipated to be more sophisticated and personalized with the help of artificial intelligence.

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Artificial Intelligence is the Most Disruptive Technology of the Century - Analytics Insight

Using Artificial Intelligence Tools to Run Proactive Health Check Investigations – insideBIGDATA

In the legal world, and in particular the world of electronic discovery, artificial intelligence (AI) has been around for more than a decade. It is no longer unusual or controversial for organizations to use AI technologies in litigation, especially where large or complex data sets are involved. Legal teams now routinely turn to AI to defensibly accelerate the process of identifying documents likely to be responsive to requests for evidence.

Innovations like technology assisted review (TAR), for example, rely heavily on machine learning and natural language processing to make connections and identify patterns within a body of data in a matter of seconds. This is work that would take even the most qualified human reviewers many, many hours to do manually, and with less accuracy.

Apart from sheer computing power, one of the most useful features of AI technology like machine learning is its ability to quickly learn and continuously improve the accuracy of its outputs with the essentially passive assistance of human reviewers. In continuous active learning (CAL), now a feature of leading eDiscovery platforms, even the process of training machines to find what youre looking for is performed algorithmically with no direction from human document reviewers beyond the coding or labeling they perform in the process of manual review. This is a remarkably efficient and cost-effective way to teach machines to identify responsive information, and it has enormous potential for other vital corporate functions. A notable example is compliance.

The usefulness of active learning as a proactive compliance and information governance tool has only recently begun to be explored and appreciated. Across the corporate landscape, reactive approaches to potential problems hidden in data stores are far more commonand ultimately more costly and risky. Companies will typically wait until a whistleblower complains or an employee happens upon a potential problem, and then respond by launching an internal investigation.

AI technology can help your organization avoid this scenario. You can use it to:

This handful of examples represents only a small fraction of potential use cases for AI in compliance and governance activities. Every industry will present a different set of use cases. Nevertheless, enterprises in just about every vertical face daunting compliance challenges requiring the identification of data-based risks in vast repositories of structured and unstructured data. This data is generated by hundreds or thousands of applications operating within diverse and often poorly integrated systems. This is the kind of environment where AI shines.

If your organization is already using an eDiscovery platform with built-in AI tools, it might make sense to explore how you can use those tools for broader data management, information governance, and risk mitigation purposes. As you run regular health checks, you will get a better understanding of your data and your approach to data-based compliance will be more proactive and cost-effective. That means fewer investigations in response to potential issues and, in many cases, less litigation overall.

About the Author

David Carns is the Chief Revenue Officer of Casepoint. He joined Casepoint as a Director of Client Services in 2010, rose the ranks to Chief Strategy Officer until his most recent promotion in 2019. In addition to being a recovering attorney, David possesses a lifelong passion for technology and its advancements. His career has always found him at the intersection of technology and the legal field given his intimate knowledge of both. Carns holds a Juris Doctorate from The John Marshall Law School and a Bachelors degree in Philosophy from DePauw University.

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Using Artificial Intelligence Tools to Run Proactive Health Check Investigations - insideBIGDATA