Technology
Trusted AI Needs Human at the Helm
By Linda Saunders
AI promises to make our jobs easier, our work more productive, and our businesses more valuable. New research from Slack finds that 80% of employees using generative AI tools are experiencing a boost in productivity — and that’s just the beginning.
And, with the introduction of AI assistants — including Salesforce’s own Einstein Copilot — the potential for businesses is only growing. AI assistants can already answer questions, generate content, and dynamically automate actions. And someday, these assistants will become digital sales and service agents, anticipating our needs and operating on our behalf.
But with each new AI advancement comes new ethical concerns. It’s one thing if an AI assistant offers a bad product recommendation, but if it takes misguided actions on real-world concerns like personal finances or medical information — the stakes suddenly become much higher.
As we enter this new era of human-AI interaction, how can we harness the power of AI without opening ourselves up to dangerous risks?
Keeping a human at the helm
The AI revolution is an evolution. We’re taking quantum leaps forward every day, but we can’t always explain why AI does the things that it does — or eliminate every instance of inaccuracy, toxicity, or misinformation.
For these reasons, it’s important that we keep humans firmly in control of AI systems. But as AI becomes more and more sophisticated, it can be hard to figure out how to layer in that human touch. We’ve all heard of keeping “humans in the loop,” but with this new generation of AI, it’s sometimes just not realistic for us to engage in every AI interaction or review every AI-generated output.
That’s why, at Salesforce, we believe trusted AI needs a human at the helm. Instead of asking humans to intervene in every individual AI interaction, we’re designing more powerful, system-wide controls that put humans at the helm of AI outcomes and enable them to focus on the high-judgement items that most need their attention. In other words, humans aren’t always rowing the boat — but we’re very much steering the ship.
With a human at the helm, we can design AI systems that leverage the best of human and machine intelligence. For example, we can unlock incredible efficiencies by tasking AI to review and summarise millions of customer profiles. At the same time, we can build trust by empowering humans to lean in and use their judgement in ways that AI can’t.
Making AI a copilot, not an autopilot
There’s a reason this generation of AI products are called copilots and not autopilots. As AI becomes more powerful and autonomous — making decisions and taking actions on individuals’ behalf — keeping a human at the helm becomes even more important. By combining the capabilities of AI with the strength of human judgment, we can make AI more effective and trustworthy.
Here are three ways we’re keeping humans at the helm of Salesforce AI:
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Prompt Builder Helps Us Automate in Authentic Ways: Prompts, or the instructions we send to generative AI models, are very powerful. A single, human-generated prompt can help guide millions of trusted outputs — but only if it’s constructed thoughtfully. With our newly announced Prompt Builder, we’re helping customers craft effective prompts by seeing the likely output in near real-time to help ensure they get the AI outcome they want. We’ve also added different edit modes within Prompt Builder that allow users to tune and revise their prompts to provide more helpful, accurate, and relevant results.
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Audit Trails Help Us Spot What We’ve Missed: Our Einstein Trust Layer offers a robust audit trail that allows customers to assess AI’s track record and pinpoint where their AI assistant may have gone wrong and where AI went right. These features help identify issues across large datasets that humans might not spot; and can empower us to use our judgement to make adjustments based on the needs of our organisation. For example, Audit Trail can alert us when an AI tool’s outputs are flagged as “thumbs down” a certain number of times — a sign that the AI-generated outputs might not be meeting the business goals. By aggregating implicit feedback signals, like how often users edit an output before using it, Audit Trail can give us a bird’s eye view of our systems, allowing us to identify trends and take action.
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Data Controls Help Us Better Guard Our Data: AI is nothing without data. That’s why we’ve designed robust controls in Data Cloud — our fast-growing platform that helps bring siloed customer data together in one place — to help businesses securely action their data. Data Cloud features help organizations harness data for AI-powered insights and intelligence. In contrast, longstanding Salesforce core data controls like permission sets, access controls, and data classification metadata fields empower humans and AI models alike to protect and manage sensitive data.
Pioneering a new approach for the AI era
As the AI era continues to unfold, both humans and technology must evolve along with it. The AI revolution is not just about technological innovation — it’s also about empowering humans to sit successfully at the helm of AI, and use it in ways that are trustworthy and effective.
Our approach is evolving, and we are committed to continued research, learning, and multi-stakeholder collaboration on this topic. But with a human at the helm, we believe we can combine the best of human and machine intelligence for this new AI era — leaning into AI’s capabilities and freeing up humans to do what they do best: be creative, exercise their judgement, and connect more deeply with one another.
With AI and humans working together, we can create more productive businesses, more empowered employees, and ultimately, more trustworthy AI.
Linda Saunders is the Salesforce Director for Solution Engineering Africa
By Adedapo Adesanya
Lagos State’s representative, Team Nevo, won the 3 Million Technical Talent (3MTT) South-West Regional Hackathon, on Tuesday, December 9, 2025.
The host state took the victory defeating pitches from other south west states, including Oyo, Ogun, Osun, Ekiti, and Ondo States.
This regional hackathon was a major moment for the 3MTT Programme, bringing together young innovators from across the South-West to showcase practical solutions in AI, software development, cybersecurity, data analysis, and other key areas of Nigeria’s digital future.
Launched by the Federal Ministry of Communications, Innovation, and Digital Economy, the hackathon brought together talented young innovators from across the Southwest region to showcase their digital solutions in areas such as Artificial Intelligence (AI)/Machine Learning, software development, data analysis, and cybersecurity, among others.
“This event not only highlights the potential of youth in South West but also advances the digital economy, fosters innovation, and creates job opportunities for our young people,” said Mr Oluwaseyi Ayodele, the Lagos State Community Manager.
Winning the hackaton was Team Nevo, made up of Miss Lydia Solomon and Mr Teslim Sadiq, whose inclusive AI learning tool which tailors academic learning experiences to skill sets of students got the top nod, with N500,000 in prize money.
Team Oyo represented by Microbiz, an AI business tool solution, came in second place winning N300,000 while Team Ondo’s Fincoach, a tool that guides individuals and businesses in marking smarter financial decisions, came third with N200,000 in prize money.
Others include The Frontiers (Team Osun), Ecocycle (Team Ogun), and Mindbud (Team Ekiti).
Speaking to Business Post, the lead pitcher for Team Nevo, Miss Solomon, noted, “It was a very lovely experience and the opportunity and access that we got was one of a kind,” adding that, “Expect the ‘Nevolution’ as we call it, expect the transformation of the educational sector and how Nevo is going to bring inclusion and a deeper level of understanding and learning to schools all around Nigeria.”
Earlier, during his keynote speech, the chief executive officer (CEO) of Sterling Bank, Mr Abubakar Suleiman, emphasised the need for Nigeria’s budding youth population to tap into the country’s best comparative advantage, drawing parallels with commodities and resources like cocoa, soyabeans, and uranium.
“Tech is our best bet to architect a comparative advantage. The work we are doing with technologies are very vital to levelling the playing field.”
By Aduragbemi Omiyale
One of the high points of the 2025 re:Invent was the unveiling of Graviton5, the fifth generation of custom Arm-based server processors from Amazon Web Services (AWS).
Many tech enthusiasts believe that the company pushed the limits with Graviton5, its most powerful and efficient CPU, frontier agents that can work autonomously for days, an expansion of the Amazon Nova model family, Trainium3 UltraServers, and AWS AI Factories suitable for implementing AI infrastructure in customers’ existing data centres.
Graviton5—the company’s most powerful and efficient CPU
As cloud workloads grow in complexity, organizations face a persistent challenge to deliver faster performance at lower costs and meet sustainability commitments without trade-offs.
AWS’ new Graviton5-based Amazon EC2 M9g delivers up to 25% higher performance than its previous generation, with 192 cores per chip and 5x larger cache.
For the third year in a row, more than half of new CPU capacity added to AWS is powered by Graviton, with 98 per cent of the top 1,000 EC2 customers—including Adobe, Airbnb, Epic Games, Formula 1, Pinterest, SAP, and Siemens—already benefiting from Graviton’s price performance advantages.
Expansion of Nova family of models and pioneers “open training” with Nova Forge
Amazon is expanding its Nova portfolio with four new models that deliver industry-leading price-performance across reasoning, multimodal processing, conversational AI, code generation, and agentic tasks. Nova Forge pioneers “open training,” giving organizations access to pre-trained model checkpoints and the ability to blend proprietary data with Amazon Nova-curated datasets.
Nova Act achieves breakthrough 90% reliability for browser-based UI automation workflows built by early customers. Companies like Reddit are using Nova Forge to replace multiple specialized models with a single solution, while Hertz accelerated development velocity by 5x with Nova Act.
Addition of 3 frontier agents, a new class of AI agents that work as an extension of your software development team
Frontier agents represent a step-change in what agents can do. They’re autonomous, scalable, and can work for hours or days without intervention. AWS announced three frontier agents—Kiro autonomous agent, AWS Security Agent, and AWS DevOps Agent. Kiro autonomous agent acts as a virtual developer for your team, AWS Security Agent is your own security consultant, and AWS DevOps Agent is your on-call operational team.
Companies, including Commonwealth Bank of Australia, SmugMug, and Wester Governors University have used one or more of these agents to transform the software development lifecycle.
Unveiling Trainium3 UltraServers
As AI models grow in size and complexity, training cutting-edge models requires infrastructure investments that only a handful of organizations can afford.
Amazon EC2 Trn3 UltraServers, powered by AWS’s first 3nm AI chip, pack up to 144 Trainium3 chips into a single integrated system, delivering up to 4.4x more compute performance and 4x greater energy efficiency than Trainium2 UltraServers.
Customers achieve 3x higher throughput per chip while delivering 4x faster response times, reducing training times from months to weeks. Customers including Anthropic, Karakuri, Metagenomi, NetoAI, Ricoh, and Splash Music are reducing training and inference costs by up to 50 per cent with Trainium, while Decart is achieving 4x faster inference for real-time generative video at half the cost of GPUs, and Amazon Bedrock is already serving production workloads on Trainium3.
By Adedapo Adesanya
The National Information Technology Development Agency (NITDA) has issued an advisory on new vulnerabilities in ChatGPT that could expose users to data-leakage attacks.
According to the advisory, researchers discovered seven vulnerabilities affecting GPT-4o and GPT-5 models that allow attackers to manipulate ChatGPT through indirect prompt injection.
The agency explained that hidden instructions placed inside webpages, comments, or Uniform Resource Locators (URLs) can trigger unintended commands during regular browsing, summarisation, or search actions.
“By embedding hidden instructions in webpages, comments, or crafted URLs, attackers can cause ChatGPT to execute unintended commands simply through normal browsing, summarization, or search actions,” they stated.
The warning followed rising concerns about AI-powered tools interacting with unsafe web content and the growing dependence on ChatGPT for business, research, and public-sector tasks.
NITDA added that some flaws allow the bypassing of safety controls by masking malicious content behind trusted domains.
Other weaknesses take advantage of markdown rendering bugs, enabling hidden instructions to pass undetected.
It explained that in severe cases, attackers can poison ChatGPT’s memory, forcing the system to retain malicious instructions that influence future conversations
They stated that while OpenAI has fixed parts of the issue, Large-Language Models (LLMs) still struggle to reliably separate genuine user intent from malicious data.
The Agency warned that these vulnerabilities could lead to a range of cybersecurity threats, including unauthorised actions carried out by the model; unintended exposure of user information; manipulated or misleading outputs; and long-term behavioural changes caused by memory poisoning, among others.
It advised Nigerians, businesses, and government institutions to adopt several precautionary steps to stay safe. These include limiting or disabling the browsing and summarisation of untrusted websites within enterprise environments and enabling features like browsing or memory only when necessary.
It also recommended regular updates to deployed GPT-4o and GPT-5 models to ensure known vulnerabilities are patched.
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