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16 top AI firms make new safety commitments at Seoul summit

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More than a dozen of the world’s leading artificial intelligence firms made fresh safety commitments at a global summit in Seoul on Tuesday, the British government said in a statement.
The agreement with 16 tech firms — which include ChatGPT-maker OpenAI, Google DeepMind and Anthropic — builds on the consensus reached at the inaugural global AI safety summit at Bletchley Park in Britain last year.
“These commitments ensure the world’s leading AI companies will provide transparency and accountability on their plans to develop safe AI,” UK Prime Minister Rishi Sunak said in a statement released by Britain’s Department for
Science, Innovation and Technology.
Under the agreement, the AI firms that have not already shared how they assess the risks of their technology will publish those frameworks, according to the statement.
These will include what risks are “deemed intolerable” and what the firms will do to ensure that these thresholds are not crossed.
“In the most extreme circumstances, the companies have also committed to ‘not develop or deploy a model or system at all’ if mitigations cannot keep risks below the thresholds,” the statement added.
The definition of these thresholds will be decided ahead of the next AI summit, due to be hosted by France in 2025.
The firms that have agreed on the safety rules also include US tech titans Microsoft, Amazon, IBM and Instagram parent Meta; France’s Mistral AI; and Zhipu.ai from China.
In his opening remarks, South Korea’s President Yoon Suk Yeol flagged “growing concerns over potential risks and negative impacts of AI, including fake news through deepfake and the digital divide.”
“Since the digital space is hyper-connected and transcends national borders, we need digital norms at the global level,” he added.
Danger of ‘deepfakes’
The stratospheric success of ChatGPT soon after its 2022 release sparked a gold rush in generative AI, with tech firms around the world pouring billions of dollars into developing their own models.
Generative AI models can generate text, photos, audio and even video from simple prompts, and its proponents have heralded them as a breakthrough that will improve lives and businesses around the world.
But critics, rights activists and governments have warned that they can be misused in a wide variety of situations, including the manipulation of voters through fake news stories or so-called “deepfake” pictures and videos of politicians.
Many have called for international standards to govern the development and use of AI, and have called for action at summits such as the two-day gathering in Seoul this week.
In addition to safety, the Seoul summit will discuss how governments can help spur innovation, including into AI research at universities.
Participants will also consider ways to ensure the technology is open to all and can aid in tackling issues such as climate change and poverty.
The Seoul summit comes days after OpenAI confirmed that it had disbanded a team devoted to mitigating the long-term dangers of advanced AI.
“The field of AI safety is quickly evolving and we are particularly glad to endorse the commitments’ emphasis on refining approaches alongside the science,” Anna Makanju, OpenAI’s vice president of global affairs, said in the statement announcing the new commitments on Tuesday.
The two-day summit will be partly virtual, with a mix of closed-door sessions and some open to the public in Seoul.
Source: france24.com
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Ethical considerations for AI adoption in MOps

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Understanding the ethical implications and best practices for responsibly integrating AI into marketing operations is crucial.
AI-driven tools and techniques offer significant benefits such as enhanced efficiency, personalized customer experiences, and data-driven decision-making. However, deploying AI in your organization requires meticulous adherence to ethical standards to uphold customer trust and facilitate a smooth transition for your workforce.
Here are key ethical considerations that marketing leaders must address when adopting AI, spanning enterprise governance, customer relations, and regulatory compliance:
Enterprise Considerations:

Transparency and Explainability: Customers must comprehend how their data influences AI-driven decisions. Ensure transparency in AI processes and provide explainability features to elucidate specific outcomes derived from AI algorithms.
Intellectual Property: Understand ownership and permissions related to AI tools trained on existing datasets. Given recent IP controversies, it’s essential to clarify data ownership chains. Whenever feasible, prioritize tools trained solely on your enterprise’s data to mitigate risks.
Compliance with Regulations: Adhere strictly to data privacy regulations such as GDPR and CCPA, along with emerging AI-specific regulations in regions like the EU. Stay informed about regulatory updates to align AI strategies accordingly.
Start Small and Scale: Initiate AI projects through pilot programs to assess effectiveness and gather feedback iteratively. This approach allows for adjustments and improvements before full deployment, enhancing the success of AI adoption.

Customer Considerations:

Acknowledgment of AI Usage: Disclose when AI powers customer interactions to maintain transparency. Offer options for human interaction alongside AI-driven communication to respect customer preferences.
Proactive Consent Management: Obtain explicit consent from customers regarding AI usage and data handling practices. Implement clear privacy policies and opt-in mechanisms to ensure compliance and uphold customer choices.
Bias Detection and Mitigation: Mitigate bias in AI models through regular audits and corrections. Collaborate with data and IT teams to ensure fairness in AI-driven processes, whether using off-the-shelf platforms or developing proprietary systems.
Data Anonymization: Protect customer privacy by anonymizing data used in AI training and operations. This ensures that AI models derive insights without compromising personally identifiable information.
Inclusivity in AI Applications: Embrace diverse perspectives and rigorous data scrutiny to promote ethical AI practices. Ensure AI applications, whether for personalization or predictive analytics, are inclusive and do not inadvertently exclude certain demographics.

Adopting AI in marketing operations holds immense potential for enhancing customer experiences and operational efficiency. However, prioritizing ethical considerations is paramount to safeguarding customer trust and ensuring regulatory compliance. By integrating these best practices, organizations can navigate the complexities of AI adoption responsibly and sustainably.
Source: martech.org
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From AI trainers to ethicists: AI may obsolete some jobs but generate new ones

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AI is rapidly taking over routine tasks in IT development and management, signaling potential benefits for the industry.
Recently, a job listing emerged for an “AI competency leader,” a position focused on collaborating across teams to implement generative artificial intelligence strategies across various domains. Such roles, unheard of just a year ago, are becoming commonplace in the AI era. While businesses are eager to harness AI’s potential, expertise in development and data science alone is no longer sufficient. The expanding responsibilities in AI initiatives span from algorithm training to ethical oversight.
Business landscapes are witnessing the emergence of novel job roles, as noted by industry insiders. Nearly seven in ten business leaders foresee the rise of generative AI leading to new positions such as AI auditors, ethicists, and prompt engineers, according to a Capgemini report. Doug Ross, Vice President and US Generative AI Leader at Sogeti, part of Capgemini, highlighted the growing demand for roles in AI management and digital transformation, emphasizing governance, strategy, stakeholder engagement, and policy in AI integration.
Robert Ghrist, Associate Dean at the University of Pennsylvania School of Engineering and Applied Sciences, distinguishes two categories of AI roles. The first encompasses AI specialists with comprehensive training in machine learning, neural networks, and large language models. The second category, more intertwined with broader business and managerial functions, involves roles like “AI plus X,” where X represents fields such as law, medicine, or education, demanding both AI expertise and industry-specific knowledge.
Prompt engineering has also emerged as a prominent role in the AI era. Tony Lee, CTO at Hyperscience, acknowledges its current demand but questions its future as a full-time profession, suggesting its evolution may hinge on technological advancements towards more conversational and human-like interfaces.
In summary, as AI reshapes IT operations, it brings forth a spectrum of new career opportunities ranging from specialized AI roles to interdisciplinary positions combining AI with diverse industries. The evolution of these roles will depend on ongoing technological advancements and the evolving needs of businesses adopting AI strategies.
Source: zdnet.com
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The effects of GenAI on tax firm rates

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Generative artificial intelligence (GenAI) is beginning to penetrate the tax profession, promising substantial transformations in operational practices.
Despite initial concerns among professionals regarding accuracy and potential misuse, there is widespread optimism about GenAI’s capacity to streamline workflows and reduce time spent on repetitive tasks.
According to the Thomson Reuters Institute’s 2024 Generative AI in Professional Services report, professionals view GenAI positively, foreseeing numerous current and future benefits for tax and accounting practices. By leveraging GenAI, tax firms and departments can potentially expand service offerings, particularly in advisory capacities, leading to significant shifts in pricing strategies.
Zach Warren, who led the report, discusses the current state of GenAI adoption within tax firms and its implications:
Question: How extensively have tax firms embraced GenAI so far?
Warren: Our survey indicates that only about 10% of tax firms have adopted generative AI extensively; it remains largely in the exploration phase. Historically, the tax sector has been cautious about embracing new technologies due to regulatory concerns and risk aversion. However, those who have implemented GenAI are utilizing it across various functions such as tax return preparation, client research, general accounting, bookkeeping, and compliance. Despite these advancements, discussions around GenAI in contractual contexts like RFPs are minimal, indicating early-stage adoption within the profession.
Question: How could GenAI benefit tax firms?
Warren: One of the primary challenges facing the tax profession is workforce shortages amidst increasing complexities. GenAI offers a pathway to achieve more with fewer resources, thereby enhancing operational efficiency. Specific regulatory challenges, like the forthcoming Pillar 2 Regulation, are expected to necessitate significant process changes, where GenAI can play a crucial role in ensuring compliance across global frameworks. Additionally, the shift towards electronic invoicing in many jurisdictions underscores the need for advanced data management solutions, where GenAI can aid in organizing and maintaining compliance.
Question: Do clients anticipate faster service and reduced fees through GenAI?
Warren: According to our report, a majority of corporate tax departments express expectations for their external firms to adopt GenAI technologies, anticipating enhanced efficiency and potentially lower costs. While clients are increasingly supportive of technology-driven efficiencies, the ultimate distribution of these benefits between clients and firms remains a critical consideration. Nonetheless, the consensus is growing that GenAI will be instrumental in meeting client demands for quicker turnarounds and cost-effectiveness in tax services.
In conclusion, while GenAI’s integration into tax practices is still in its early stages, its potential to revolutionize operations and meet evolving regulatory demands is gaining traction among professionals and clients alike. As technology continues to advance, tax firms are poised to leverage GenAI to navigate complexities and deliver enhanced value to their clients efficiently.
Source: tax.thomsonreuters.com

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