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Safer, more efficient movements for factory workers and astronauts, and improved mobility for people with disabilities could someday become a more widespread reality, thanks to new research published June 12 in the journal Nature.

Called exoskeletons, wearable robotic frameworks for the human body promise easier movement, but technological hurdles have limited their broader application, explained Dr. Shuzhen Luo of Embry-Riddle Aeronautical University first author of the Nature paper, with corresponding author Dr. Hao Su of North Carolina State University (NC State) and other colleagues.

To date, exoskeletons must be pre-programmed for specific activities and individuals, based on lengthy, costly, labor-intensive tests with human subjects, Luo noted.

Dr. Shuzhen Luo (Photo: Embry-Riddle/ Daryl Labello)Now, researchers have described a super smart or learned controller that leverages data-intensive artificial intelligence (AI) and computer simulations to train portable, robotic exoskeletons.

This new controller provides smooth, continuous torque assistance for walking, running or climbing stairs without the need for any human-involved testing, Luo reported. With only one run on a graphics processing unit, we can train a control law or `policy, in simulation, so that the controller can effectively assist all three activities and various individuals.

Driven by three interconnected, multi-layered neural networks, the controller learns as it goes evolving through millions of epochs of musculoskeletal simulation to improve human mobility, explained Dr. Luo, assistant professor of Mechanical Engineering at Embry-Riddles Daytona Beach, Florida, campus.

The experiment-free, learning-in-simulation framework, deployed on a custom hip exoskeleton, generated what appears to be the highest metabolic rate reductions of portable hip exoskeletons to date with an average of 24.3%, 13.1% and 15.4% reduced energy expenditure by wearers, for walking, running and stair-climbing, respectively.

These energy reduction rates were calculated by comparing the performance of human subjects both with and without the robotic exoskeleton, Su of NC State explained. That means its a true measure of how much energy the exoskeleton is saving, said Su, associate professor of Mechanical and Aerospace Engineering. This work is essentially making science fiction reality allowing people to burn less energy while conducting a variety of tasks.

The approach is believed to be the first to demonstrate the feasibility of developing controllers, in simulation, that bridge the so-called simulation-to-reality, or sim2real gap, while significantly improving human performance.

Previous achievements in reinforcement learning have tended to focus primarily on simulation and board games, Luo said, whereas we proposed a new method namely, a dynamic-aware, data-driven reinforcement learningway to train and control wearable robots to directly benefit humans.

The framework may offer a generalizable and scalable strategy for the rapid, widespread deployment of a variety of assistive robots for both able-bodied and mobility-impaired individuals, added Su.

As noted, exoskeletons have traditionally required handcrafted control laws based on time-consuming human tests to handle each activity and account for differences in individual gaits, researchers explained in Nature. A learning-in-simulation approach suggested a possible solution to those obstacles.

The resulting dynamics-aware, data-driven reinforcement learning approach dramatically expedites the development of exoskeletons for real-world adoption, Luo said. The closed-loop simulation incorporates both exoskeleton controller and physics models of musculoskeletal dynamics, human-robot interaction and muscle reactions to generate efficient and realistic data. In this way, a control policy can evolve or learn in simulation.

Our method provides a foundation for turnkey solutions in controller development for wearable robots, Luo said.

Future research will focus on unique gaits, for walking, running or stair climbing, to help people who have disabilities such as stroke, osteoarthritis and cerebral palsy, as well as those with amputations.

Contributors: The Nature paper was authored by Shuzhen Luo of Embry-Riddle Aeronautical University, with Menghan Jiang, Sainan Zhang, Junxi Zhu, Shuangyue Yu, Israel Dominguez Silva and Tian Wang of North Carolina State University; and corresponding author Hao Su of North Carolina State University and the University of North Carolina at Chapel Hill; Elliott Rouse of the University of Michigan, Ann Arbor; Bolei Zhou of the University of California, Los Angeles; Hyunwoo Yuk of the Korea Advanced Institute of Science and Technology; and Xianlian Zhou of the New Jersey Institute of Technology.

Yufeng Kevin Chen of the Massachusetts Institute of Technology provided constructive feedback in support of the paper, Experiment-free exoskeleton assistance via learning in simulation.

Funding Disclosures: The research was supported in part by a National Science Foundation (NSF) CAREER award (CMMI 1944655); the National Institute on Disability, Independent Living and Rehabilitation Research (DRRP 90DPGE0019); a Switzer Research Distinguished Fellow (SFGE22000372); the NSF Future of Work (2026622); and the National Institutes of Health (1R01EB035404).

In keeping with Natures publication policies, any potential competing interests were disclosed in the paper. Su and Luo, a former postdoctoral researcher at NC State who is now on the faculty at Embry-Riddle, are co-inventors on intellectual property related to the controller described here.

Nature, June 12, D.O.I.: 10.1038/s41.586-024-07382-4. After the journals embargo lifts on June 12 at 11 a.m. ET, the paper will be online at https://www.nature.com/articles/s41586-024-07382-4.

Posted In: Engineering | Research

Originally posted here:
Artificial Intelligence Strategy May Promise More Widespread Use of Portable, Robotic Exoskeletons on Earth and in ... - ERAU News

Global spending on advertising is likely to pass the trillion-dollar mark for the first time next year, according to media agency GroupM.

That would represent an increase of nearly 8% over this year and it means the ad industry will cross the threshold a year earlier than GroupM initially expected.

And that total, by the way? It does not include any of the money being poured into election advertising here in the United States.

The increase in ad spending is here despite high interest rates and consumers with dwindling savings and rising credit card debt indications that consumers arent exactly champing at the bit to buy stuff.

GroupMs previous prediction reflected high interest rates, which usually slows down consumer spending. But, we didnt see that play out to the extent that we sort of expected over the first quarter or half of 2024, said Kate Scott-Dawkins with GroupM.

She said theres another factor forcing spending upward: the artificial intelligence boom, of course. The report says AI could inform more than 94% of ad spending before the end of the decade.

Elea McDonnell Feit, a marketing professor at Drexel University, said AI is increasingly being used to help advertisers find the right customer at the right time, and place that ad in the right content.

And so advertisers are willing to spend more, because AI could make every dollar they spend more effective.

It can also customize any kind of ad, from static images to TikTok videos, said Bobby Zhou, a marketing professor at the University of Marylands Robert H. Smith School of Business.

The level of micro-targeting, the ads that you see, the ad copy that you see will be substantially different from the ad copy that I see, Bobby sees, he said.

So even if Bobby and I are shown the same running shoes, Ill see them in my favorite color, with an explanation of why theyd be great for someone in my neighborhood living my lifestyle.

That is the power of generative AI, and its already happening, Zhou said.

GroupM said the next big question is whether all ofthis AI-generated content will be as effective at getting people to buy stuff as human-made content already is.

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Ad spending is climbing, thanks to tireless consumers and AI - Marketplace

Dont let fear hold you back; take a leap of faith and see where it leads. Curious George

We are at the start of an incredible technological advance called Generative Artificial Intelligence (GAI). We dont know where it will lead us. Every day brings us more enhancements of this technology and more stories about how it is good or bad. Sometimes, it feels like we are on a precipice. It is an exciting time to be leading you get to shape the future of the organization you are leading and take advantage of all that GAI has to offer while minding the challenges that come with it.

Leaders need to understand what it is and how it can be used in decision-making.

What is GAI?

Generative artificial intelligence is artificial intelligence capable of generating text, images, videos, or other data using generative models, often in response to prompts. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics. Wikipedia.

If you are a novice, there are a few excellent resources you can get started with:

GAI in Business Operations and Decision-Making

AI has the potential to automate mundane tasks, freeing us for work that requires uniquely human traits such as creativity and critical thinking or, possibly, managing and curating the AIs creative output. Ethan Mollick, Co-Intelligence

In the early 2000s, Big Data gained momentum in business decision-making, noting the ability of decision-making tools to handle large amounts of data available from information systems. For example, the company I cofounded, Retail Solutions, provided analytics to retailers and CPG companies based on retail data such as point-of-sale, distribution, and inventory, which helped them make informed decisions about what to promote, how much inventory to carry, and how to prevent out-of-stock.

In the last decade, machine learning, a subset of artificial intelligence, became part of the arsenal of tools businesses use. Their use has allowed enterprises to harness the power of the data to make operations more efficient and derive valuable insights about customer behavior. An example of the use of machine learning can be found in the recommendation engines used by businesses like Netflix. The algorithms learn from the vast amount of customer data to understand each customers watching behavior and be able to suggest what to watch next based on it, and also based on customers whose tastes are similar.

Today, businesses can mine even more data with GAI, such as call center interactions, email texts, and financial reports. GAI affords businesses quick summarization of the vast amount of internal and external data. A semantic search of information available across documents, product catalogs, and knowledge bases has been made possible by the power of the large language models (LLMs) which enable GAI. My previous article, GenAI Unleashed: A Leaders Guide for Maximizing Global Impact in Talent Management, Content Creation, and Customer Support, described several business areas that can benefit from GAI.

All this power comes with some downside. The technology is in the early stages, and the LLMs tend to hallucinate and makeup falsehoods. Leaders also need to be mindful of the bias in the underlying data (which, by the way, reflects the bias of humans who generated the data). The accuracy of the GAI solutions needs improvement. However, as I mentioned in a previous article, Riding the Wave of Generative AI: Tips for Enterprise Leaders, there are three things a leader can do to get started, namely, understand where the technology is, identify how GAI can help your business, and set up experiments.

Collaboration and Augmentation

The key to success in the AI era will be to understand how to leverage AI to augment human capabilities. Unknown

Keep the words augment and collaborate in your mind in the many ways you can use GAI. Approach GAI as a tool that can work alongside humans to increase productivity.

Today, GAI is reasonably capable of generating some decisions, but humans must decide whether and how to use it.

A 2023 research paper, Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence, found that using ChatGPT for mid-level professional writing tasks substantially increased productivity. It says,

ChatGPT could increase workers productivity in two ways. On the one hand, it couldsubstitute for worker effort by quickly producing output of satisfactory quality that workersdirectly submit, letting them reduce the time they spend on the task. On the other hand, itcould complement workers skills: humans and ChatGPT working together could producemore than the sum of their parts, for example if ChatGPT aids with the brainstorming process,or quickly produces a rough draft and humans then edit and improve on the draft.

It is essential to consider the collaboration parameters when using GAI in decision-making. Richard Benjamins, former Chief Responsible AI Officer at Telefonica and founder of its AI for Society and Environment area, proposed a Choices Framework for considering ethical and responsible choices when using GAI. He defines an Ethics Continuum and Impact on Society. It has Use AI for good at one end of the continuum and Malicious use of AI at the other end, with Do not use AI if effects cannot be mitigated, Best Effort to avoid the negative impact of AI, and Negative effect of AI is considered collateral damage in between. He says organizations need to decide, based on their norms and values, where they want to be in a continuum of ethics.

Embrace GAI with Caution

The advent of General Artificial Intelligence (GAI) can be compared to historical technological and scientific breakthroughs that transformed society, such as the Industrial Revolution. Generative AI is not a panacea for all problems; therefore, understanding what it is, its benefits, and its shortcomings would be tremendously advantageous for an enterprise. The practice of holding opposable ideas in mind is precious in understanding the continuously changing world of GAI. With many voices expressing opposing views on the advances in GAI, one has to think for oneself. Understand the diverse points of view, and then decide for yourself. And, as Curious George said, dont let fear hold you back.

Have you read? Worlds Best Countries For Retirement. Worlds Best Countries For Women. Worlds Best Countries To Visit In Your Lifetime. US States With the Largest Gender Pay Gaps. CEOs who have secured the most funding during their tenure in companies in each US state.

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Generative AI: Taking the Leap While Navigating Its Risks - CEOWORLD magazine

In an address to the G7 summit, Pope Francis discusses the threat and promise of artificial intelligence, the techno-human condition, human vs algorithmic decision-making, AI-written essays, and the necessity of political collaboration on technology.

By Joseph Tulloch

On Friday afternoon, Pope Francis addressed the G7 leaders summit in Puglia, Italy.

He is the first Pope to ever address the forum, which brings together the leaders of the US, UK, Italy, France, Canada, Germany, and Japan.

The Pope dedicated his address to the G7 to the subject of artificial intelligence.

He began by saying that the birth of AI represents a true cognitive-industrial revolution which will lead to complex epochal transformations.

These transformations, the Pope said, have the potential to be both positive for example, the democratization of access to knowledge, the exponential advancement of scientific research, and a reduction in demanding and arduous work and negative for instance, greater injustice between advanced and developing nations or between dominant and oppressed social classes.

Noting that AI is above all a tool, the Pope spoke of what he called the techno-human condition.

He explained that he was referring to the fact that humans relationship with the environment has always been mediated by the tools that they have produced.

Some, the Pope said, see this as a weakness, or a deficiency; however, he argued, it is in fact something positive. It stems, he said, from the fact that we are beings inclined to what lies outside of us, beings radically open to the beyond.

This openness, Pope Francis said, is both the root of our techno-human condition and the root of our openness to others and to God, as well as the root of our artistic and intellectual creativity.

The Pope then moved on to the subject of decision-making.

He said that AI is capable of making algorithmic choices that is, technical choices among several possibilities based either on well-defined criteria or on statistical inferences.

Human beings, however, not only choose, but in their hearts are capable of deciding.

This is because, the Pope explained, they are capable of wisdom, of what the Ancient Greeks calledphronesis(a type of intelligence concerned with practical action), and of listening to Sacred Scripture.

It is thus very important, the Pope stressed, that important decisions must always be left to the human person.

As an example of this principle, the Pope pointed to the development of lethal autonomous weapons which can take human life with no human input and said that they must ultimately be banned.

The Pope also stressed that the algorithms used by artificial intelligence to arrive at choices are neither objective nor neutral.

He pointed to the algorithms designed to help judges in deciding whether to grant home-confinement to prison inmates. These programmes, he said, make a choice based on data such as the type of offence, behaviour in prison, psychological assessment, and the prisoners ethnic origin, educational attainment, and credit rating.

However, the Pope stressed, this is reductive: human beings are always developing, and are capable of surprising us by their actions. This is something that a machine cannot take into account.

A further problem, the Pope emphasised, is that algorithms can only examine realities formalised in numerical terms:

The Pope then turned to consider the fact that many students are increasingly relying on AI to help them with their studies, and in particular, with writing essays.

It is easy to forget, the Pope said, that strictly speaking, so-called generative artificial intelligence is not really generative it does not develop new analyses or concepts but rather repeats those that it finds, giving them an appealing form.

This, the Pope said, risks undermining the educational process itself.

Education, he emphasised, should offer the chance for authentic reflection, but instead runs the risk of being reduced to a repetition of notions, which will increasingly be evaluated as unobjectionable, simply because of their constant repetition.

Bringing his speech to a close, the Pope emphasised that AI is always shaped by the worldview of those who invented and developed it.

A particular concern in this regard, he said, is that today it is increasingly difficult to find agreement on the major issues concerning social life - there is less and less consensus, that is, regarding the philosophy that should be shaping artificial intelligence.

What is necessary, therefore, the Pope said, is the development of an algor-ethics, a series of global and pluralistic principles which are capable of finding support from cultures, religions, international organizations and major corporations.

If we struggle to define a single set of global values, the Pope said, we can at least find shared principles with which to address and resolve dilemmas or conflicts regarding how to live.

Faced with this challenge, the Pope said, political action is urgently needed.

Only a healthy politics, involving the most diverse sectors and skills, the Pope stressed, is capable of dealing with the challenges and promises of artificial intelligence.

The goal, Pope Francis concluded, is not stifling human creativity and its ideals of progress but rather directing that energy along new channels.

You can find the full text of the Pope's address to the G7 here.

Read the rest here:
Pope to G7: AI is neither objective nor neutral - Vatican News - English

Catch up on select AI news and developments from the past week or so (in no particular order):

Apple Unveils 'Apple Intelligence' with OpenAI Partnership. Apple announced a partnership with OpenAI to integrate ChatGPT into its devices, unveiling a new AI system called "Apple Intelligence." This system aims to enhance Siri's capabilities and offer more personalized features on Apple devices. Despite investor concerns about Apple's AI competitiveness, the partnership with OpenAI is seen as a significant move. Apple emphasized user privacy, with AI features running on devices and in the cloud without collecting personal data. The announcement was made at Apple's annual developers conference, where other AI features and product updates were also showcased.

Importance for marketers: This partnership highlights Apple's commitment to integrating advanced AI while prioritizing user privacy, making it a crucial development for marketers to monitor. Understanding these enhancements can help marketers leverage new AI-driven capabilities for personalized customer experiences on Apple devices.

Meta to Use European Social Media Posts for AI Training. Meta Platforms announced plans to use publicly shared social media content from Europe to train its generative AI models. This move aligns Meta's data usage approach in Europe with its global practices, despite stringent EU privacy regulations. Meta assured that private posts and messages will not be used. The company will notify European users about this data usage. Advocacy groups have filed complaints, arguing that Meta should obtain opt-in consent from users as per EU privacy laws.

Importance for marketers: Meta's strategy could enhance its AI capabilities, improving targeted advertising and content recommendations. Marketers should stay informed about regulatory changes and user consent requirements to ensure compliance and maintain trust with their audience.

Arm-Qualcomm Legal Dispute Threatens AI-Powered PC Launch. A legal dispute between Arm Holdings and Qualcomm may disrupt the release of new AI-powered PCs. The conflict arises from a disagreement over licensing technology acquired by Qualcomm from Nuvia. An Arm victory could halt shipments of new AI-driven laptops from Qualcomm and its partners, including Microsoft. The litigation could impact the anticipated market growth for these AI-powered PCs.

Importance for marketers: The outcome of this legal battle could influence the availability of cutting-edge AI technology in the PC market, affecting marketing strategies for tech products. Marketers should monitor this situation to anticipate potential disruptions in product launches and technology adoption.

Mistral AI Secures 600M Funding to Expand AI Capabilities. French AI startup Mistral AI raised 600 million in a Series B funding round, led by General Catalyst and other prominent investors. The company's valuation surged to 5.8 billion. Mistral plans to use the funds to enhance computing capacity, hire more staff, and expand its presence, particularly in the US. This funding highlights the growing investor interest in AI.

Importance for marketers: Mistral's expansion signifies the increasing competition and innovation in the AI industry. Marketers should explore potential collaborations with emerging AI companies like Mistral to leverage cutting-edge technology for improved marketing strategies and customer engagement.

Colorado Introduces Legislation to Regulate AI and Data Privacy. Colorado lawmakers are pushing for new laws to regulate AI, social media, and data privacy. The proposed measures include public disclosure of AI-generated content, oversight for high-risk AI systems, and enhanced protections for minors' data on social media. These regulations aim to address algorithmic discrimination and ensure user privacy. The legislation would position Colorado as a leader in AI regulation in the US.

Importance for marketers: These regulations could impact how marketers use AI and data for targeting and personalization. Marketers should prepare for stricter data privacy laws and consider the ethical implications of AI in their strategies to stay compliant and maintain consumer trust.

Study Warns AI Training Data Supply Could Be Exhausted by 2032. A study by Epoch AI predicts that the supply of publicly available data for training AI language models could be depleted by 2032. This shortage may hinder the progress of AI development, pushing companies to seek alternative data sources or rely on synthetic data. The study highlights the importance of high-quality data for improving AI systems and the potential challenges of data scarcity.

Importance for marketers: The potential scarcity of training data could affect the quality and effectiveness of AI-driven marketing tools. Marketers should explore diverse data sources and innovative approaches to ensure the continued advancement of AI applications in marketing, while also considering ethical data usage practices.

OpenAI Bolsters Leadership, Partners With Apple for ChatGPT Integration. OpenAI hired Sarah Friar as CFO and Kevin Weil as chief product officer to strengthen its leadership team. The company also announced a partnership with Apple to integrate ChatGPT into iOS, iPadOS, and macOS. This integration aims to enhance Apple's AI capabilities and user experience. OpenAI's leadership expansion and high-profile partnership underscore its growing influence in the AI sector.

Importance for marketers: OpenAI's leadership changes and partnership with Apple reflect its strategic growth and focus on expanding AI applications. Marketers should consider how these developments can enhance AI-driven customer interactions and explore opportunities for integrating advanced AI solutions into their marketing efforts.

Apple Assures Data Privacy With 'Apple Intelligence' AI System. Apple emphasized its commitment to data privacy at WWDC 2024, highlighting that its new "Apple Intelligence" AI system processes data on-device or on secure cloud servers without storing or accessing personal data. The system uses Apple silicon and cryptographic measures to ensure privacy. This approach aims to build trust among users concerned about data security in AI applications.

Importance for marketers: Apple's focus on data privacy can enhance consumer trust and loyalty. Marketers should leverage this assurance to promote privacy-focused AI solutions and communicate the value of secure, personalized experiences to customers, aligning with growing privacy concerns.

Inside Apple's Privacy-First Approach to AI with 'Apple Intelligence'. Apple detailed its dual approach to AI privacy, combining on-device processing with secure cloud servers to handle more complex tasks. The "Apple Intelligence" system uses Apple's own AI models and public data, ensuring user data is not used for training. The system's design emphasizes minimal data sharing and transparency, with public inspection of server code to verify privacy claims.

Importance for marketers: Apple's privacy-centric AI approach can serve as a model for ethical AI practices in marketing. Marketers should adopt similar principles to ensure data security and transparency, fostering trust and demonstrating a commitment to protecting consumer privacy in AI-driven marketing strategies.

LinkedIn Enhances Job Search and Learning with AI Tools. LinkedIn introduced new AI-powered features to streamline job searching and application processes, including tools for generating cover letters and personalizing learning content. The platform aims to enhance user experiences and maintain relevance amid growing AI adoption. LinkedIn's focus on AI builds on its long-standing use of the technology for connecting users and ensuring security.

Importance for marketers: LinkedIn's AI enhancements offer new opportunities for targeted job ads and personalized content delivery. Marketers should explore these tools to improve recruitment marketing strategies and leverage AI-driven insights for more effective audience engagement on the platform.

Yahoo Revamps News App with AI-Powered Personalization from Artifact. Yahoo launched a revamped version of its news app, incorporating AI technology from the acquired news reader app Artifact. The new app uses AI algorithms to deliver personalized content and generate summaries of news articles. This move aims to enhance user engagement and position Yahoo as a leader in AI-driven news delivery.

Importance for marketers: Yahoo's AI-powered news app offers marketers new avenues for content distribution and targeted advertising. Understanding how AI personalization can improve user engagement can help marketers develop more effective strategies for reaching their target audience through AI-enhanced platforms.

Adobe Faces Backlash From Employees Over AI Content Use Concerns. Adobe faced internal criticism after suggesting it might use customer content to train AI models, prompting employee demands for better communication and long-term strategy. Adobe clarified that it does not train AI on customer content, but the controversy highlights ongoing concerns about data usage in AI development. Employees called for improved transparency and customer engagement to address these issues.

Importance for marketers: The controversy underscores the need for clear communication and ethical practices in AI development. Marketers should prioritize transparency in how customer data is used and engage openly with their audience to build trust and mitigate concerns about AI and data privacy.

Luma AI Launches 'Dream Machine' for High-Quality AI-Generated Videos. Luma AI introduced Dream Machine, a new AI system capable of generating realistic videos from text descriptions. This technology is accessible to the public, allowing users to create video content quickly and easily. Dream Machine's open approach aims to foster a community of creators and developers, positioning Luma AI as a leader in AI-powered video generation.

Importance for marketers: Dream Machine's capabilities offer marketers a powerful tool for creating engaging video content at scale. By using this technology, marketers can produce high-quality, customized videos efficiently, enhancing their content strategies and driving audience engagement.

Memory Constraints Prevent Apple Intelligence on iPhone 15. Apple's new AI system, Apple Intelligence, is likelyincompatible with the iPhone 15 and probably iPhone 15 Plus due to insufficient memory. The system requires a minimum of 8GB of RAM, available in the iPhone 15 Pro and newer devices. This limitation is attributed to the large language model used by Apple Intelligence, which demands significant memory resources.

Importance for marketers: Understanding device limitations is crucial for marketers developing AI-driven apps and services. Marketers should account for hardware constraints when targeting users with AI-powered features, ensuring compatibility and optimal performance across different devices to maximize user experience.

Pope Francis Joins G7 Summit to Discuss AI Ethics. Pope Francis will join G7 leaders to discuss the ethical implications of artificial intelligence. His participation underscores the importance of developing AI technologies that benefit humanity and promote peace. The pope's involvement follows the Rome Call for AI Ethics, a set of principles for responsible AI development.

Importance for marketers: Ethical AI practices are increasingly important in technology development. Marketers should stay informed about global discussions on AI ethics to align their strategies with responsible AI principles, fostering trust and ensuring that AI applications benefit society while minimizing risks.

Elon Musk Withdraws Lawsuit Against OpenAI. Elon Musk has unexpectedly dropped his legal case against OpenAI, which accused the company of deviating from its mission to benefit humanity. The lawsuit's withdrawal comes amid recent tensions following Apple's partnership with OpenAI. Musk's decision to drop the case remains unexplained, though it leaves open the possibility of future legal action.

Importance for marketers: The resolution of legal disputes can impact business relationships and market dynamics. Marketers should monitor such developments to understand potential shifts in industry alliances and competitive strategies, ensuring they remain agile and informed in their marketing efforts.

You can find last week's AI Update here.

Editor's note: GPT-4o was used to help compile this week's AI Update.

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AI Update, June 14, 2024: AI News and Views From the Past Week - MarketingProfs.com