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Trusted AI Needs a Human at the Helm

By Linda Saunders, Salesforce Director, Solution Engineering Africa
AI promises to make our jobs easier, our work more productive, and our businesses more valuable. In fact, 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.
And 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. And 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 judgement, we can make AI more effective and trustworthy.
Here are three ways we’re keeping humans at the helm of Salesforce AI:
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 so they provide more helpful, accurate, and relevant results.
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 — but also 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. And 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.
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, while 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, it’s critical that both humans and technology 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.
Broadcasting
Global South Alliance Launches $72,000 Datafication and Democracy Fund to Support 2026 Research Projects

The Global South Alliance, a coalition of 26 digital rights organizations, launched today the second edition of the “Datafication and Democracy Fund” on December 9.

Global South Alliance
The Fund will provide more US$ 72,000 to support research and advocacy projects focused on datafication and democracy to be implemented in 2026.
The Datafication and Democracy Fund was launched during the fourth edition of the Data Privacy Global Conference, organized in São Paulo, Brazil. The Global South Alliance is jointly managed by Data Privacy Brasil, Aapti Institute, and Paradigm Initiative.
The members are Asociación por los Derechos Civiles, Bolo Bhi, Center for Communication and Governance, CIPESA, Derechos Digitales, Digital Rights Foundation, Dukingire Isi Yacu, Internet Bolivia, Pollicy, Research ICT Africa, Fundación Multitudes, InternetLab, Thraets, Jokkolabs Banjul, Aláfia Lab, Centre for Policy Alternatives, KICTANET, Tech Global Institute, Freedom Forum, TEDIC, Digital Access, Center for AI and Tech Innovation for Democracy and Masaar.
The call for proposals is open to non-profit, non-governmental organizations based in the Global South working on digital rights and related public policy issues. Previously supported organizations have addressed topics such as online child protection, data governance in electoral processes, biometric technologies in stadiums and large events, mandatory biometric data collection of migrants, and discriminatory surveillance and datafication practices.
According to the launch announcement, the Datafication and Democracy Fund “aims to finance research and public policy analysis projects that address critical questions arising from the impact of datafication on democracy.” The Alliance emphasizes that “datafication is a deep and complex process of social transformation: it shapes the provision of public services mediated by information technologies, the emergence of digital public infrastructures, the data-driven nature of elections, the reconfiguration of markets and platforms, and many aspects of civic life. Beyond deliberative processes and elections, datafication exacerbates democratic challenges such as transparency, due process, and respect for citizens’ autonomy.”
Selected applicants will receive grants of up to US$ 8,000 to support their research projects. Depending on the proposals submitted, between 8 and 12 projects will be funded. All funded projects must be carried out during 2026.
Applicants are required to submit:
A one-page cover letter outlining the organization’s background, experience, and motivation for participating in the research program;
A proposal of up to five pages detailing the topic, scope, methodology, expected results, and relevance of the project to digital rights and democracy in the Global South;
A detailed budget, not exceeding US$ 8,000, specifying how resources will be allocated across the proposed project’s components.
Applications must be submitted in English by January 30th 2026, through the designated online form.
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End of an Era as Multichoice Delists from JSE After Canal+ Takeover

South Africa’s leading pay-TV operator, Multichoice, owner of DStv and Showmax, will officially delist from the Johannesburg Stock Exchange (JSE) this week following its acquisition by French media giant Canal+.

DStv
The delisting, scheduled to take effect on Wednesday, Dec. 10, 2025, also applies to Multichoice’s ordinary shares on the A2X Markets.
The move comes after Canal+ completed a Squeeze-Out of remaining shareholders, securing full ownership of the company after nearly two years of acquisition efforts.
According to the company, the delisting remains subject to regulatory approvals from the JSE, the A2X, and the South African Reserve Bank. Canal+ has pledged to comply with conditions set by South Africa’s competition authorities and intends to proceed with a secondary inward listing on the JSE within nine months of the delisting.
Founded in 1985 with the launch of M-Net, Multichoice has been a household name across Africa for four decades. It introduced DStv in 1995, expanded into multiple African markets, and launched its streaming platform, Showmax, in 2015.
In 2019, Multichoice was spun out of Naspers, South Africa’s most valuable company, and later began secondary trading on A2X in 2020.
The acquisition by Canal+ marks a significant shift in South Africa’s media landscape. Local investors will no longer be able to hold direct stakes in Multichoice, but will only gain indirect exposure once Canal+ completes its planned inward listing.
Industry analysts say the takeover underscores the growing consolidation in global media markets, with Canal+ strengthening its footprint across Africa through Multichoice’s extensive subscriber base and sports broadcasting rights via Supersport.
Broadcasting
How Nigerian Companies are Leading a More Responsible Digital Transformation

By Kehinde Ogundare, Country Head, Zoho Nigeria
Artificial intelligence is everywhere–in polished social media posts, in the recommendations that guide our viewing habits, and in the bots that handle customer queries before a human agent steps in. On LinkedIn, AI-assisted writing has become standard practice. A year ago, more than half of English long-form posts that went viral were estimated to have been written by or assisted by AI. If that’s the norm on the world’s biggest business network, it’s no surprise that AI is driving conversations in Nigerian boardrooms as companies move from experimentation to embedding AI into their daily operations.

Kehinde Ogundare, Country Head, Zoho Nigeria
Part of the package
The Nigeria Data Protection Act (NDPA), modelled on the European Union’s General Data Protection Regulation, together with the Nigeria Data Protection Commission, requires companies to build privacy into their systems from the outset rather than adding it later. This clear regulatory framework has evolved alongside a rapid rise in AI adoption.
New research from Zoho on responsible AI adoption highlights the impact of the regulations. As per the report, 93% of Nigerian companies have already started using AI in their daily operations; 84% have tightened their privacy controls after adoption, and 94% now have a dedicated privacy officer or team, which is well above global averages.
The survey, conducted by Arion Research LLC among 386 senior executives, shows just how deeply embedded AI has become in Nigeria. One in four companies already uses it across several departments, and nearly a third report advanced integration. Financial services firms are pioneers in this sector, using AI to automate client interactions, streamline operations and sharpen their marketing, while staying compliant with data protection rules.
The NDPA has helped make privacy part of business planning. Four in ten companies now spend more than 30% of their IT budgets on privacy. Regular audits, privacy impact assessments and explainability checks are becoming standard practice.
Skills, compliance and capacity
Rapid adoption brings challenges. More than a third of businesses say that their biggest obstacle is a lack of technical skills, and another 35% cite privacy and security risks. Instead of outsourcing, most are building capacity in-house: nearly 70% of companies are training staff in data analysis, more than half are improving general AI literacy, and 40% are investing in prompt engineering for generative tools.
The understanding of the NDPA regulation, which came into force in 2023, has also improved. 65% of organisations see compliance as essential. Many voluntarily apply data-minimisation and transparency standards even when not required to do so, aligning more closely with international norms and easing collaboration with global partners.
Privacy is increasingly influencing business decisions — from investment priorities to system design. Companies are asking tougher questions: is specific data essential? How can exposure be limited? How can fairness and transparency be proven?
Trusted systems
As privacy becomes part of how technology is built, companies are being more cautious about the tools they use because they now want systems that protect customer data, with clear boundaries between data and model training, straightforward controls, and reliable records for compliance teams.
Demand for business software that balances productivity with privacy is also growing. Zoho, among others, has seen strong customer growth as more organisations are looking for platforms that support responsible data handling.
The study identifies three main reasons behind AI adoption: to make work more efficient by automating routine tasks, to support better decision-making by identifying patterns sooner, and to improve customer engagement through faster, more relevant interactions. But none of this can succeed without trust. Nigeria’s experience shows that privacy and innovation can reinforce each other when they’re built together.
There’s still work to do because some industries are moving faster than others, and smaller businesses often face the biggest hurdles in time, cost and skills. Enforcement is also patchy; while the law is clear, application across sectors and geographies is a work in progress.
The next steps are more practical, requiring investment in skills – from data analysis and AI literacy to sector-specific training – and for governance to be put in place, with clear responsibilities, written policies, and a plan for managing errors or breaches. Privacy impact assessments should become part of every new system rollout, enabled by technology.
As AI becomes fundamental to doing business, Nigerian companies that build it carefully and responsibly will be better able to compete at home and abroad.
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