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As a key strategic partner to the business, CIOs must consider the return that investment will create in terms of business value. Are we prepared to handle the ethical, legal, and compliance implications of AI deployment? Additionally, they should consult with legal experts to navigate regulations and establish oversight committees.
AI coding agents are poised to take over a large chunk of software development in coming years, but the change will come with intellectual property legal risk, some lawyers say. The legal issues aren’t likely to go away anytime soon, adds Michael Word, an IP and IT-focused lawyer at the Dykema Gossett law firm.
It’s not about staying within legal boundaries; ethics is a discussion about what’s right, not a set of rules. Compliance functions are powerful because legal violations result in clear financial costs. Legal compliance is increasingly inadequate for this powerful stakeholder. Ethics is much more slippery.
In a new twist of events, Zoom, the popular videoconferencing platform, is entangled in a legal predicament regarding using customer data for training artificial intelligence (AI) models. The controversy centers around its recent terms and conditions, sparking user outrage and raising pertinent questions about data privacy and consent.
CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.
With these regulatory and legal requirements, policymakers want to protect society and thus create trust in new technologies. This is the only way for companies offering digital products, services and functions to be legally compliant in the long term at an early stage. How should these be marketed?
We have many current and future copyright challenges: training may not infringe copyright, but legal doesn’t mean legitimate—we consider the analogy of MegaFace where surveillance models have been trained on photos of minors, for example, without informed consent. Specific prompts seem to “unlock” training data.
This means that enterprises could experience significant vulnerabilitiesnot only in terms of their data security but also with respect to operational integrity. Moreover, organizations are likely to face cybersecurity threats in the interim before quantum-safe algorithms become widely available.
But if all gen AI does is improve productivity, CIOs may be challenged long term to justify budget increases and experiments with new capabilities. Instead, CIOs must partner with CMOs and other business leaders to help quantify where gen AI can drive other strategic impacts especially those directly connected to the bottom line.
Then theres the operational complexity of running open source models, and the potential legal liabilities. Legal indemnification is a common feature of gen AI contracts from OpenAI, Microsoft, Adobe, and other major vendors. Model creators dont often take on legal liability, says Chandrasekaran.
In recent years, there’ve been a number of smaller AI products geared toward the legal profession, but it wasn’t until gen AI caught on that Swedish law firm Setterwalls really saw the benefit. “We The long-term human aspect was to make sure everyone understood the point of the AI support, and how to use the technology,” he adds.
As an e-discovery company that helps law firms, corporations, and government agencies mine digital data for legal cases, Relativity knows the value of guaranteeing that people have the appropriate level of access to do their jobs. Altogether, these automation tools have improved both security and efficiency,” he says.
The second most common reason was concern about legal issues, risk, and compliance (18% for nonusers, 20% for users). The legal consequences of using generative AI are still unknown. Such policies would be designed to mitigate legal problems and require regulatory compliance. In the long term, these issues may slow AI adoption.
Ask anyone who’s done content moderation for social media platforms: filtering specific terms will only get you so far, and will also lead to a lot of false positives.) As will your legal team. I emphasize the term “reduce” here. The model is not deterministic.
At United Airlines, AI has been a long-term strategic investment, not a recent initiative. The second is having connective tissue between the technology, operating, cyber, and legal teams to create a compliance structure required to deploy AI solutions with the proper safeguards. In terms of driving adoption, United GPT sold itself.
Notions of fairness are not only domain and context sensitive, but as researchers from UC Berkeley recently pointed out , there is a temporal dimension as well (“We advocate for a view toward long-term outcomes in the discussion of ‘fair’ machine learning”).
erroneous results), and an equal amount (32%) mentioned legal risk. It can subject an enterprise to fines or other legal consequences, disrupt operations and damage an enterprise’s reputation. Red-teaming is a term used to describe human testing of models for vulnerabilities. Toxic content can be harmful or offensive.
It’s worth noting that model durability and retraining can raise legal and policy issues. As such, an AI Product Manager’s responsibility here extends to releasing not only a usable product, but one that can be ethically and legally consumed. However, monitoring is a loaded term. Monitoring.
According to BCG’s report, comparatively few, just 19%, of executives are focusing on costs of use, which the researchers said “has serious long-term implications,” while most respondents said they were more focused on performance, quality, and data protection issues. There’s very few legal folks who have expertise in this area,” he noted.
Im not suggesting that all of this will happen in 2025, but its the long-term direction. Its a step forward in terms of governance, trying to make sure AI is being used in a socially beneficial way. Second, companies will need systems in place to monitor the execution of those tasks, so they stay within legal and ethical boundaries.
While such reports are useful for legal purposes, they’re not ideal for decision-making. Because this mismatch between usefulness and reality comes from the fact that financial reports were never designed to be useful: they were designed to satisfy legal requirements. They were using historical data only. Should I hire more employees?
Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. “We In total, LexisNexis spent $1.4
Operational efficiencies, he says, will be the biggest impact of gen AI in the short to medium term. Sometimes it actually creates more work than it saves due to legal and compliance issues, hallucinations, and other issues. At the moment it’s being deployed to 140,000 employees to help them do their jobs.”
ChatGPT-written term papers? It can be a force for positive disruption if we use it thoughtfully, ethically, legally, and with contributions from all aspects of our community. Thats so last semester. But now higher ed CIOs are beginning to turn their focus to using gen AI to improve operations.
This isn’t the first time SAP has faced legal challenges related to its business practices. As a rule, we do not comment on ongoing legal proceedings including those concerning other companies,” an SAP spokesperson said. Carahsoft did not immediately respond to a request for comment.
One person is focused on working with legal and compliance and navigating changing regulations, while the other is dedicated to communication and education. Were talking about it in terms of the business outcomes it drives. In some situations, having other business leaders share the value stories can be even more effective.
In the legal arena, legal information services giant LexisNexis is embracing generative AI to keep in front of what EVP and CTO Jeff Reihl sees as a disruptive threat in the company’s industry. “We It was just staggering in terms of its capabilities.” We were all-hands-on-deck,” Reihl told CIO.com. “We
There’ve also been several high-profile cases of legal firms getting into hot water by submitting fake, AI-generated cases as evidence of precedence in legal disputes. While the CEO lost his job, the parent company, Arena Group, lost 20% of its market value.
Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. Still, I would want a human lawyer to review anything it produced; legal documents require precision.
As AI becomes more sophisticated, so too do the potential threats, especially in terms of organizational IP and personal privacy. Current IP laws are not designed to handle this scenario, leading to a legal gray area. The answer to that question can have a huge impact on a business’s profitability and legal exposure going forward.
The CPQ process is a crucial part of the sale, ensuring that whatever product or service the buyer is purchasing is fit for purpose and at an acceptable price and contact terms. Inevitably, this again adds latency to the process, without even adding in the time that the buyer’s legal department may take to “red line” and propose amendments.
Starting with business governance sets the foundation because it supports leadership to strengthen the organizations competitiveness in the long term, and to remain competitive in a constantly changing world. The goal is to ensure that AI is ethical, transparent, responsible, fair as well as compliant with legal and regulatory standards.
And the coronavirus pandemic has accelerated a longer-term trend toward accessing all sorts of other services online as well. In the meantime, legal claims continue to proliferate that eat up time and budget. The thing that has really galvanized things over the last five or 10 years is the legal side,” says Bigham.
If they have any terms we consider risky or questionable, we require executive review,” she says. In particular, how do they make sure they’re not infringing on private data, he asks, and are there any legal actions against the company? Microsoft, for instance, announced its legal indemnification policy for Copilot in September.
Every time they want to bring on a new IT vendor, they must go through multiple levels of approval: procurement, legal, compliance, and more. Finally, contract negotiations and revisions can several months as legal teams revise language and terms that are suitable to both parties.
Legal analytics is an evolving discipline that is changing the future of the legal profession. Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? How will it change the legal profession? What is Legal Analytics?
More than 70% of US legal departments across enterprises spanning various industry sectors have not made any investment towards digital transformation in the last two years, according to a joint report from The Association of Corporate Counsel (ACC) and legal-technology company Disco. Digital Transformation, Legal
As a result, many companies are now more exposed to security vulnerabilities, legal risks, and potential downstream costs. They can lean on AMPs to mitigate MLOps risks and guide them to long-term AI success.
The term big data refers to l arge amounts or volumes of data, both structured and unstructured. Before you can really start using Big Data to your benefit, you need to take care of more traditional business and legal aspects of starting a company first. But there’s a lot of useful data out there. How You Can Use Big Data?
This process maintains good data hygiene and is crucial for long-term AI success and data resilience. Implementing a data retention schedule defines an organization’s legal, operational, and compliance requirements. Any discrepancies or errors are flagged for manual review and resolution.
In this article we’ll explore the two terms, how they differ and how they make up the world of insolvency proceedings. The editors of Harvard Law Review state that this can lead to legal issues, since customer data is at stake. The process is also more likely to involve a detailed legal strategy. What is External Administration?
Determine the best payment terms for customers. However, you should discuss these terms with the customers and get them to agree with the given conditions. You want to choose payment terms that are fair and reasonable to all parties. However, the cost of the legal action may sometimes outweigh the money owed.
However, McCaul highlighted a gap in the BIS’s mandate regarding AI systems, noting the agency’s lack of clear legal authority in the segment. Although these restrictions might seem detrimental to China or other countries initially, they are likely to have a long-term negative impact on US companies.”
Long-Term Reputational Damage The indirect costs of cyber breaches, such as reputational damage, can be more harmful than the immediate financial penalties. Compliance-focused training ensures that the organization not only meets current legal standards but is also prepared for new regulations that may arise.
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